Daron Acemoglu

Long Read — The Economist versus Acemoglu: Who Will Govern the Next World Order? 

Professor Ibrahim Ozturk examines the deeper political economy behind The Economist’s recent critique of Nobel laureate Daron Acemoglu, arguing that the dispute reaches far beyond disagreements over institutional theory or AI productivity. He situates the controversy within a systemic crisis marked by inequality, weakened labor, technological concentration, declining governing capacity, and the erosion of liberal democracy’s social foundations. Drawing on Acemoglu alongside Polanyi, Rodrik, Stiglitz, Rawls, and Piketty, Professor Ozturk argues that technological progress is inherently political: institutions and power determine who directs innovation and captures its gains. The commentary contends that Acemoglu’s most consequential challenge is his insistence that markets cannot discipline concentrations of power they have themselves created—and asks whether the coming systemic reset will genuinely redistribute power or merely reproduce existing winners under a new institutional settlement.

By Ibrahim Ozturk

The Economist’s attack on Nobel laureate in economics Daron Acemoglu is more than an academic dispute. It exposes a deeper struggle over who will govern technological change, who will bear the costs of systemic reform, and whether liberal democracy can discipline concentrated economic power. Acemoglu’s real offense is not pessimism. It is his insistence that technological progress is a political choice, that liberal democracy cannot survive without shared prosperity, and that markets cannot discipline concentrations of power that they have themselves created. The dispute is therefore larger than one economist or one disputed estimate. At stake is whether the coming systemic reset will redistribute power as well as losses—or merely reshuffle the cards while leaving ownership of the table in the same hands.

The Political Economy Behind the Acemoglu Controversy

A growing body of research shows that the contemporary crisis of liberal democracy cannot be explained solely by the personalities of populist leaders or the supposed irrationality of their supporters. Its deeper sources lie in systemic disruptions caused largely by the corporate capitalism of the neoliberal Washington consensus that came with unregulated hyper-globalization, widening inequality, weakened labor, financial instability, regional decline, technological concentration, and the diminishing capacity of elected governments to protect citizens from externally generated shocks.

This interpretation belongs to a substantial political economy tradition. Karl Polanyi argued that attempts to disembed markets from society eventually provoke a protective countermovement. But that countermovement need not always be democratic or progressive. If legitimate democratic institutions cannot provide social protection, nationalism, protectionism, and authoritarian populism may offer it.

Dani Rodrik similarly anticipated that advanced economic globalization would provoke a political backlash. Trade, capital mobility and global production networks generated aggregate gains, but the losses were geographically concentrated, socially persistent and inadequately compensated. In Rodrik’s formulation, the problem was not globalization alone but “hyper-globalization”: the subordination of domestic economic and social arrangements to the requirements of international markets.

Joseph Stiglitz has approached the same problem through the failures of neoliberalism. Deregulation, regressive taxation, weakened public services, and the political power of concentrated wealth did not produce the competitive market order that their advocates promised. They produced what Stiglitz calls a crisis of capitalism and democracy. Four decades of policies favoring capital over labor did not remove the state from the economy; they reorganized state power around particular interests.

In my recent works, I argued that unmanaged globalization creates political space for populists, who then weaken the autonomous institutions required for democratic correction. Turkey under Erdogan shows how institutional capture can insulate authoritarian populism from economic failureBrazil under Lula, by contrast, demonstrates that a broad coalition can defeat an authoritarian-populist project, although its media, patronage and identity networks may survive electoral defeat. My comparative analysis of Lula and Erdogan therefore suggests that democracy must do more than remove populist leaders; it must rebuild the social and economic foundations of representation.

Reverse Convergence and the Crisis of the Western Model

I have placed these national cases within a broader process that I call “reverse convergence.” The post-Cold War expectation was that China’s integration into global capitalism would gradually make it more liberal, more transparent, and more institutionally similar to the democratic West. Markets would create an independent middle class; international integration would strengthen the rule of law; and economic modernization would ultimately generate political liberalization.

That prediction proved deeply misleading. China incorporated markets, global trade, multinational investment, and advanced technology without surrendering authoritarian political control. At the same time, the United States and parts of Europe began adopting practices once associated with illiberal systems: economic nationalism, strategic protectionism, industrial subsidies tied to geopolitical objectives, expanding surveillance, executive discretion, and restrictions on technological exchange.

China did not simply converge toward the West. In important respects, the West began to converge toward China. As I argued in “Capitalist Disruptions and the Democratic Retreat,” this reciprocal movement is rooted in the systemic crisis of corporate capitalism. Liberal regimes are adopting illiberal instruments, while authoritarian regimes maintain repression and selectively integrate into global markets. The institutional and normative distance between the two systems is narrowing from both sides.

This does not mean that China and Western democracies have become identical. Political pluralism, judicial independence, civil liberties, and electoral competition still create fundamental distinctions. Reverse convergence describes a direction of movement, not a completed state. Its warning is that market integration alone does not automatically liberalize authoritarian regimes, while economic insecurity and geopolitical rivalry may progressively illiberalize democratic ones.

The empirical literature on the so-called China Shock strengthens this argument. David Autor, David Dorn and Gordon Hanson showed that communities exposed to Chinese import competition experienced persistent employment and wage losses rather than the rapid adjustment predicted by standard trade models. Their subsequent research connected trade exposure with greater political polarization. These findings do not prove that globalization alone caused Trumpism. They do demonstrate that the distributional and geographical effects of trade cannot be treated as temporary deviations from an otherwise frictionless adjustment process.

Rodrik’s distinction between the demand and supply sides of populism is crucial here. Economic shocks generate insecurity and resentment, but political entrepreneurs decide how these grievances are interpreted. The anger may be directed against financial elites, multinational corporations, and inequality, or diverted towards migrants, minorities, and external enemies. Material dislocation and cultural politics are not mutually exclusive explanations; economic insecurity can be translated into identity conflict.

The transformation of Western party systems reinforces the problem. Thomas Piketty, Amory Gethin and Clara Martínez-Toledano document the emergence of a “Brahmin Left” representing highly educated voters and a “Merchant Right” representing high-income and wealth-owning groups. Sections of the working and lower-middle classes increasingly feel politically unrepresented. They face a cultural elite on one side and an economic elite on the other.

This helps explain why citizens experiencing abandonment may turn to leaders whose economic programs do not objectively serve them. Populism offers what technocratic liberalism no longer provides: a language of belonging, recognition and political conflict. Its solutions may be false and its leadership authoritarian, but its diagnosis begins with a real representational void.

The Global Policy Machine Is Running Out of Room

The world economy is now entering a phase in which national policy responses increasingly neutralize one another. Japan is caught between enormous accumulated public debt, rising financing costs, demographic contraction and a central bank whose policy space has narrowed. The United States combines structural fiscal deficits and high debt-service costs with protectionism and an increasingly explicit effort to preserve technological supremacy. Europe wants greater strategic autonomy, military capacity, green transformation and social protection, but confronts weak growth, high energy costs, fragmented capital markets and restrictive fiscal politics. 

Each major economy is trying to transfer part of the adjustment burden elsewhere. The United States uses tariffs, industrial subsidies and the structural power of the dollar. China responds through production scale, export penetration and state-supported technological upgrading. Europe turns to defensive regulation and industrial policy. Emerging economies compete for investment through tax concessions, cheap labor, suppressed wages and regulatory exemptions.

What appears rational for each country separately becomes contradictory at the systemic level. Everyone wants to export more, protect strategic industries, attract capital, subsidize domestic production and prevent unemployment. Not everyone can do so simultaneously.

Monetary policy confronts similar limits. High interest rates may suppress inflation but intensify debt-service pressures, weaken investment and expose financial fragilities. Lower rates may sustain asset prices and indebted governments but revive inflation, encourage leverage and postpone restructuring. Fiscal expansion supports demand but confronts anxious bond markets. Austerity reassures creditors while weakening social legitimacy and accelerating political radicalization.

The world is approaching a point where conventional policies no longer resolve problems. They transfer them across time, borders and social classes. When these contradictions can no longer be postponed, governments will be tempted to reshuffle the cards: recognize losses, rescue selected institutions and transfer the bill to those least able to resist. Workers, taxpayers, small savers, pensioners and younger generations will be required to absorb the consequences of decisions they did not make. Without structural reform, the next major crisis will not be merely another business-cycle downturn. It may become a simultaneous crisis of distribution, political legitimacy and democratic representation.

The questions Acemoglu now addresses are therefore the real questions confronting liberal democracy: Why do governments change while economic direction remains largely fixed? Why can political systems identify their crises yet remain unable to reform the structures that reproduce them? And why does electoral alternation so often rotate the administrators of the system without altering the distribution of economic power, the direction of technological change or the mechanisms through which the costs of crisis are transferred?

United Kingdom offers a revealing example. Prime ministers and governing parties change, yet weak productivity, regional inequality, deteriorating public services, housing shortages, chronic underinvestment and the unresolved consequences of Brexit remain. Political alternation survives, but transformative capacity has weakened. Elections change the system’s managers without necessarily changing its economic direction. Acemoglu is searching, at his own analytical scale, for an explanation of this crisis of reform capacity and for a route beyond it.

This is precisely where The Economist occupies a paradoxical position. It presents itself as an unsentimental analyst of political and economic failure, yet its ideological framework often prevents the causal chain from being followed back to the underlying distribution of power. Governments fail, voters become irrational, institutions deteriorate, and populists advance; meanwhile, the ownership structures, fiscal privileges, financial interests, and technological concentrations that restrict meaningful reform remain less visible. Acemoglu’s recent work is disturbing because it begins to turn the analytical finger towards these protected centers of power.

A Critique with Two Very Different Layers

On August 17th 2026The Economist published an unusually personal attack under the headline “The world’s most influential economist is oddly unconvincing.” The article acknowledges that Acemoglu is exceptionally productive, intellectually formidable, and generous towards younger scholars. It then devotes the rest of its space to questioning whether his reputation at the summit of the economics profession is justified.

This is a legitimate question to ask about any celebrated scholar, including a Nobel laureate. Acemoglu’s empirical research, institutional theory and estimates of AI’s productivity effects are not beyond criticism. The history of economics is full of influential theories that later proved incomplete, context-dependent or empirically fragile. Yet The Economist’s intervention does not read like a conventional scholarly assessment. Its tone, timing and structure suggest that something else is at stake. For instance, it moves from technical disagreements over colonial mortality data to dismissive judgments about Acemoglu’s political analysis, his account of technological change and his support for pro-worker AI. It does not merely claim that some of his estimates may be wrong. It seeks to diminish the intellectual authority he draws on to challenge today’s concentration of technological and economic power.

The article combines two fundamentally different kinds of criticism. The first is methodological. It revisits the famous 2001 paper by Acemoglu, Simon Johnson and James Robinson on the colonial origins of comparative development. Their argument—those different colonial environments produced different institutional arrangements whose effects persisted—became foundational to contemporary institutional economics. The Nobel Committee recognized the three economists in 2024 “for studies of how institutions are formed and affect prosperity.”

The settler-mortality data used in their original paper have genuinely been disputed. David Albouy questioned observations transferred between territories, the comparability of historical mortality figures, and the robustness of the instrumental-variable estimates. Acemoglu, Johnson and Robinson responded that Albouy’s conclusions depended on removing much of Latin America and Africa from the sample and adding a questionably coded campaign dummy. Their formal reply was published alongside Albouy’s critique.

These are substantial questions, and The Economist is justified in discussing them. Yet the limits of the research program extend beyond one dataset. Adam Przeworski questioned whether endogenous institutions can coherently be treated as the primary cause of development; Edward Glaeser and his co-authors argued that human capital and prior development may themselves generate institutional improvement; and Gareth Austin showed how the reversal-of-fortune thesis compresses African history and underweights colonial political economy and local trajectories. More broadly, the inclusive–extractive distinction risks becoming an ex-post classification if imperial power, war, class conflict, external intervention and variation within countries receive insufficient weight. These objections limit the framework’s claim to a unified explanation; they do not render institutional analysis worthless.

The paper’s influence also extends beyond its precise coefficient. It helped shift development economics away from treating markets, capital accumulation, and technological diffusion as processes operating independently of political power. Institutions determine whose property is protected, whose contracts are enforced, who receives education, who controls the state, and who can organize collectively.

The second layer of The Economist’s critique goes beyond identification strategies or historical evidence and dismisses Acemoglu’s ideas as obvious, gloomy, or insufficiently adventurous. His argument that Trump increases executive power by destroying constraining institutions is met with “Well, obviously.” The magazine’s article characterizes his idea of pro-worker AI as attractive but self-evident. It presents his concern about the social direction of technology as pessimism.

This is not technical refutation. It is rhetorical minimization. A familiar method is at work: acknowledge that an argument is correct, then declare it too obvious to matter. Yet many of the most consequential truths in political economy appear obvious only after somebody has identified their mechanisms and shown why prevailing institutions systematically violate them. If it is obvious that AI should complement workers rather than displace them, why do corporate incentives and tax systems so often favor automation? If it is obvious that executive power must be constrained, why are liberal democracies progressively normalizing emergency powers, politicized administration, and rule by decree? If shared prosperity is an obvious foundation of democratic stability, why has it been so consistently subordinated to asset-price appreciation and capital mobility?

A Magazine Contradicting Its Own Acemoglu Archive

The severity of the 2026 verdict is striking because it does not grow naturally out of The Economist’s own record. When Acemoglu and Robinson were turning a partly Western-centered institutional narrative into a global theory—precisely when its circularity, historical compression and treatment of colonial power most required sustained scrutiny—the magazine largely welcomed the framework. It insisted that “institutions matter, a lot,” reported favorably on research connecting democracy and growth, and applied the Why Nations Fail framework to rebuilding fragile states. Its archive was not uncritical, but it was serious and constructive. The latest article abruptly converts familiar disputes into a personalized verdict on whether Acemoglu deserves his standing at the apex of economics.

Date Article Acemoglu’s role Editorial posture
March 2012 Why Nations Fail — review Book and institutional thesis Positive, with reservations
6 March 2013 Institutions matter, a lot Acemoglu–Robinson reply to Bill Gates Defensive / favorable
25 June 2015 Have your cake and eat it Democracy and growth research Favorable
7 January 2017 Why states fail and how to rebuild them Why Nations Fail framework Favorable / applied
26 March 2019 Slower growth in ageing economies is not inevitable Ageing, robots and productivity Constructive
5 September 2020 Economists are turning to culture… Institutions versus culture; The Narrow Corridor Constructively critical
16 January 2021 The robots are coming for jobs—but stealthily Automation and labor research Serious / neutral
21 January 2021 Economic crises and political ruptures Economic networks and fascism Serious / neutral
28 November 2023 Welcome to a golden age for workers Robots, tight labor markets and worker power Neutral; more optimistic
17 August 2026 The world’s most influential economist is oddly unconvincing Career-wide assessment Adversarial / personalized

Archive searches are imperfect, especially across changed URLs and print editions. The conservative claim is therefore not an exact lifetime total but at least ten identifiable, substantial Economist articles between 2012 and 2026 in which Acemoglu or his co-authored work is central. Passing citations, daily briefings, and Economist events would raise the broader count.

The inconsistency is not that a magazine changed its mind; serious publications should do so when evidence changes. The new verdict neither identifies decisive new evidence nor explains the editorial reversal. Nor has The Economist stopped treating Acemoglu as authoritative: its Antitrust Summit agenda schedules him for a discussion with the magazine on October 28th, 2026. The same institution can market his authority in one venue while attempting to deflate it in another. That tension deserves acknowledgment.

Institutions: Tautology or An Analysis of Power?

Acemoglu’s institutional theory does face a genuine analytical challenge. If successful countries are said to possess “inclusive institutions” and unsuccessful countries “extractive institutions,” there is a risk of circular reasoning. Inclusive institutions produce prosperity, while prosperity becomes evidence that institutions were inclusive.

Tyler Cowen and other critics have questioned whether institutional change is sometimes explained by reference to earlier institutional change, producing an infinite regress. Critics also point to China: how can a politically authoritarian and plausibly extractive system generate decades of extraordinary growth? These objections should be taken seriously. Institutions cannot become a residual category covering laws, norms, culture, political power, state capacity, and every historical event not explained elsewhere. A theory that explains everything after the event may predict very little before it.

Yet China does not automatically disprove Acemoglu’s argument. His claim is not that extractive systems cannot grow. Such regimes can mobilize resources, import technology, suppress consumption, direct credit, and achieve rapid catch-up. The stronger claim is that innovation-driven, broadly shared prosperity becomes harder to sustain when political power remains concentrated and accountability weak. China therefore represents less a decisive refutation than an unresolved test. Its future trajectory will depend on whether centralized control can coexist with innovation, demographic transition, rising debt, entrepreneurial autonomy and the increasingly complex information requirements of an advanced economy.

More importantly, institutional analysis becomes far less tautological when institutions are understood as structured distributions of power. Institutions establish who can veto policy, organize labor, own productive assets, finance political campaigns, control information, and impose losses on others. They are not merely “good rules” producing good outcomes. They are settlements among social forces. This interpretation connects Acemoglu to an older political-economy tradition rather than separating him from it. Polanyi’s embedded markets, Rawls’s fair value of political liberty, Stiglitz’s progressive capitalism and Rodrik’s productivist agenda all ask how economic power can be made compatible with democratic citizenship.

John Rawls insisted that political liberties must possess not only formal existence but “fair value.” Citizens must have a substantively comparable opportunity to influence political outcomes. His later preference for a property-owning democracy over conventional welfare-state capitalism was based partly on the fear that wealth concentrated in a few hands would dominate politics. This is no longer an abstract philosophical concern. Martin Gilens demonstrated that policy outcomes in the United States are far more responsive to affluent citizens than to those on middle or lower incomes. When unequal economic power becomes unequal political influence, liberal democracy may retain elections while losing substantive representation.

The “Old Acemoglu” and the “New Acemoglu”

Some defenders of Acemoglu have interpreted The Economist’s article as retaliation by “the system” against an economist who has become “dangerously radical.” An ideological reaction may be at work, but this interpretation should not be exaggerated.

As a good student of institutional economics, I would argue that Acemoglu is not a socialist revolutionary. He does not advocate abolishing markets or private property. He does not romanticize Soviet planning, Maoism, or Chinese authoritarian state capitalism. His project is reformist: to rescue liberal democracy from the consequences of its political and economic degeneration. His new book, What Happened to Liberal Democracy?, makes this explicit. Acemoglu argues that liberal democracy flourished when it combined individual freedom, political participation, and shared prosperity. It lost legitimacy when post-industrial liberalism abandoned that settlement, let economic and educational elites detach from the rest of society, and failed to manage the disruptions caused by globalization and digital technology. His alternative is “working-class liberalism”: a democratic order centered on shared prosperity, empowered communities, human dignity, and a wider range of legitimate social values. The book’s central argument is the reconstruction of liberalism, not its destruction.

Acemoglu’s criticism of sections of the contemporary left is also important. He argues that progressive politics became too detached from working-class economic interests and too closely associated with highly educated metropolitan groups. That claim corresponds strikingly with Piketty’s “Brahmin Left” analysis. The cultural and educational elite may support minority rights and cosmopolitan values while remaining insufficiently attentive to labor power, regional decline, and economic insecurity. In this respect, Acemoglu is closer to Rawlsian social liberalism or renovated social democracy than to anti-capitalism. Markets should remain, but they must be embedded in democratic institutions. Technology should advance, but society must influence its direction. Capital should invest and innovate, but concentrated private power should not colonize politics, knowledge and public life.

Precisely because this is not a revolutionary program, it poses an uncomfortable challenge to defenders of the status quo. Acemoglu cannot easily be dismissed as an enemy of capitalism. He criticizes capitalism in the language of productivity, competition, opportunity, and liberal democracy itself. His message is not that liberal democracy failed because its enemies defeated it. It is that liberalism damaged its own social foundations.

This recasts the central democratic question. Are liberal democracies being destroyed from outside by populists, or hollowed out from inside by the concentration, dependency and inequality generated under economic liberalism? The alternatives are false if treated as mutually exclusive. Populist leaders are real agents of institutional destruction, but they also accelerate a prior internal decay. When markets concentrate wealth, governments lose governing capacity, work loses bargaining power, and citizens experience elections without economic agency, the constitutional shell remains while democratic substance thins. Trump, Bolsonaro and Erdogan did not invent this vulnerability; they organized and weaponized it. Lula’s return shows that electoral correction is possible, but also that removing a populist is not the same as rebuilding democracy’s social foundations.

The Reform Question Neoliberalism Avoids

For four decades, the dominant policy framework promised that trade liberalization, deregulation, financial deepening, labor-market flexibility and technological innovation would increase aggregate prosperity. Distributional losses could supposedly be handled afterward through education, worker mobility and limited fiscal compensation.

The promised compensation was frequently inadequate or never arrived. Productivity gains were distributed unevenly. Trade unions weakened. Labor lost bargaining power. Financialization expanded. Market and wealth concentration increased. Tax systems often treated capital gains, inherited wealth and multinational profits more favorably than ordinary labor income.

Stiglitz describes the necessary alternative as progressive capitalism: markets combined with strong public institutions, competition, social investment and limits on rent extraction.  Rodrik’s “productivism” similarly shifts attention from redistribution after-market outcomes to the organization of production itself. Firms’ investment, employment, and innovation decisions reproduce poverty, inequality, and exclusion daily. Waiting to repair them afterward is both economically inefficient and politically destabilizing.

This is where Acemoglu’s pro-worker technology argument acquires significance. The distributional consequences of technology should be addressed when technologies are selected, designed, and deployed—not only after workers have been displaced.

Technology Does Not Choose Its Own Direction

The Economist presents Power and Progress, written by Acemoglu and Simon Johnson, as an excessively gloomy history of technological change. It responds that technological progress has made the average person vastly richer than people living before the Industrial Revolution.

That statement is true, but it does not answer Acemoglu’s argument. Acemoglu and Johnson do not claim that technology has produced no progress. Their central proposition is that the benefits of innovation are neither automatic nor naturally distributed. Technology creates possibilities; institutions, political organization, and bargaining power determine how those possibilities are deployed and who captures the gains. The MIT summary of Power and Progress states the issue clearly: technological advances can become empowering and democratizing, but not if decisive choices remain concentrated in the hands of a few technology leaders.

The Industrial Revolution eventually raised living standards, but its early decades also produced brutal factory discipline, child labor, unsafe cities, and the destruction of established livelihoods. The eventual social gains were not created by machinery alone. Labor organization, public health, education, political enfranchisement, social insurance, competition policy, and progressive taxation mediated them.

Acemoglu’s critics frequently collapse two different propositions: i) Technology can increase aggregate productivity. ii) Technology will automatically produce broadly shared prosperity.

The first can be true while the second remains false.

The same distinction appears in the economic literature on automation. Acemoglu and Pascual Restrepo distinguish between a displacement effect, through which machines take over tasks previously performed by labor, and a reinstatement effect, through which technological change creates new tasks in which human labor has a comparative advantage. Automation can raise productivity while reducing labor’s share of income if the creation of new human tasks is too weak. The question is therefore not “technology or no technology.” It is what kind of technological trajectory societies encourage.

AI, Labor and Concentrated Power

AI
Photo: Dreamstime.

Artificial intelligence makes this problem more urgent because AI is not merely another machine. It can reorganize the production of knowledge, monitor workers, shape communication, automate administrative judgment and concentrate informational power in companies controlling data, cloud capacity, advanced chips and foundation models.

An AI system may increase corporate productivity while reducing labor’s bargaining power. It may improve prediction while enabling pervasive surveillance. It may create useful information while degrading the shared epistemic environment required for democratic deliberation. It may create new occupations in aggregate while destroying the career ladders through which younger workers acquire expertise.

The International Labor Organization (ILO) finds that transformation and augmentation are more likely than the immediate disappearance of entire occupations. This supports neither technological utopianism nor apocalyptic unemployment forecasts. It supports Acemoglu’s emphasis on institutional choices: outcomes depend on how tasks are reorganized, whether workers participate in deployment decisions, and who captures the productivity gains.

The competition problem is equally serious. An OECD assessment identifies powerful concentration pressures arising from access to computing capacity, data and specialized skills, along with first-mover advantages and vertical integration. In other words, concern about AI oligopoly is not merely an ideological suspicion Acemoglu entertains. It is now a central competition-policy problem.

This connects Acemoglu’s position with Shoshana Zuboff’s concept of surveillance capitalism. Digital business models do not simply sell services. They extract behavioral data, convert human experience into a commercial resource, and acquire capacities to predict or influence behavior. This produces not only market power but a form of private authority over information and social coordination.

The issue is therefore larger than monopoly pricing. When a handful of corporations control the infrastructures through which citizens communicate, work, acquire knowledge and participate in politics, economic concentration becomes constitutional power.

Is Acemoglu Too Pessimistic About AI Productivity?

Here, The Economist has a legitimate point. Acemoglu’s 2024 paper estimated that AI would generate only modest productivity gains over the following decade—no more than approximately 0.66% in total factor productivity under its main assumptions. The calculation was deliberately conservative. It used a task-based model, focused on tasks that could plausibly be automated or assisted, and excluded some speculative future applications. Acemoglu subsequently acknowledged that he did not fully anticipate the speed of agentic AI and may have underestimated its applications in scientific research. That is an important concession. AI may accelerate software development, experimentation, materials science, drug discovery, organizational coordination and decision-making. Agentic systems can combine reasoning, memory, planning and external tools in ways not captured by earlier estimates. If these complementary innovations scale rapidly, Acemoglu’s original productivity estimate may prove too low.

But this argues for revising the quantitative estimate, not abandoning his political economy. Indeed, faster AI progress makes his institutional concerns more important. If AI were only a marginal productivity instrument, its concentration in a few corporations would matter less. If it becomes a general-purpose infrastructure governing production, knowledge and communication, democratic oversight becomes indispensable.

There is also an asymmetry in the dominant technology debate. AI firms and their investors routinely make spectacular claims about productivity, employment and scientific transformation. These claims influence valuations, infrastructure investment, electricity policy, tax incentives and public subsidies. Yet skepticism toward commercially driven forecasts is treated as ideological pessimism, while AI executives’ optimistic claims are presented as neutral technological expertise.

The people predicting an inevitable AI revolution are often the same people raising capital, demanding regulatory exemptions and accumulating political influence from that expectation. Injecting realism into these forecasts is not hostility towards technology. It is an elementary requirement of political economy.

Who Is the “We” That Should Steer AI?

Editorial independence is not the same as institutional neutrality. The magazine’s institutional setting must be discussed with precision. The Economist Group has formal safeguards for editorial independence, including independent trustees charged with protecting the publication’s character and preventing control by any single interest. Those safeguards matter. Yet editorial independence—a prohibition on owners dictating the line—is not the same as institutional neutrality or social distance from the economic sectors under scrutiny.

The Group’s own board disclosures show an unusually dense overlap among media governance, finance, ownership and technology.

Group chair Paul Deighton also chairs Goldman Sachs International and Goldman Sachs International Bank.

Mustafa Suleyman, chief executive of Microsoft AI, has served as a non-executive director of the Group since 2019 and sits on its technology investment committee.

Suzanne Heywood is chief operating officer of Exor—the Group’s largest shareholder—and also serves on that committee.

Diego Piacentini, another committee member, previously held senior roles at Amazon and Apple.

Editor-in-chief Zanny Minton Beddoes is herself a member of the Group board.

The commercial adjacency extends to AI. The October 2025 launch announcement for Economist Insider, the premium video product, said the launch was “supported by Claude—the AI for problem solvers.” It is safer to call Anthropic/Claude the disclosed launch supporter than to infer control over editorial content. The distinction matters: sponsorship or commercial support creates a relationship readers may reasonably examine, but it does not establish that a sponsor selected an article or dictated its conclusions.

Historical board links reinforce the point about proximity, not conspiracy. Eric Schmidt, then executive chairman of Alphabet, left the Group board in 2015. The relevant inference is limited: the publication’s governance network has long overlapped with the commanding heights of technology and finance. It would be wrong to leap from that fact to a claim of editorial instruction. It would be equally naïve to treat institutional location as irrelevant to which assumptions appear normal, which reforms seem excessive and which concentrations of power receive the benefit of the doubt.

No publicly available evidence establishes that Microsoft, Goldman Sachs, Exor, Anthropic or any board member commissioned, edited or approved the August 2026 attack on Acemoglu. This essay does not allege such intervention. Its narrower claim is that the magazine’s authority should not be confused with a view from nowhere. Formal editorial autonomy can coexist with a governing and commercial ecosystem whose members share exposure to the technologies, financial structures and ownership interests Acemoglu wants democratic politics to discipline.

This institutional proximity becomes more consequential when The Economist moves from analysis to explicit policy advocacy. Only three days after attacking Acemoglu’s critique of concentrated technological power, the magazine published a leader declaring that Britain would be “bonkers to ditch Palantir,” thereby urging the government not to exercise the break clause in Palantir’s £330m NHS data-platform contract. The Palantir leader was unrelated to Anthropic’s sponsorship, and no evidence shows Palantir commissioned or influenced it. Nevertheless, it was an unmistakable editorial intervention in favor of maintaining a major public-sector relationship with a controversial American technology contractor—even after a parliamentary committee had warned of vendor lock-in and described Britain’s dependence on Palantir as an “unacceptable point of weakness.” The juxtaposition is difficult to ignore: The Economist dismisses Acemoglu’s warnings about concentrated technological power as gloomy or obvious while deploying its own institutional voice to defend precisely the kind of state–technology dependency his political economy asks democratic societies to scrutinize.

The Economist asks a fair question about Acemoglu’s demand that “we” steer AI in a pro-human direction. Who exactly constitutes this “we”? Governments can be captured. Regulators may lack technical expertise. Trade unions do not represent everyone. Expert committees can become unaccountable. National regulation may encourage investment to migrate towards more permissive jurisdictions. “Pro-worker AI” is not a self-executing program. But these difficulties do not justify leaving technological direction to the market. Markets do not remove political choice; they transfer decision-making to corporate executives, investors, platform owners and venture capital funds.

The absence of democratic governance is not neutrality. It is private governance. The real question is not whether somebody will steer AI. Somebody already does. The question is whether its direction will be determined exclusively by profitability, labor substitution, data extraction and market domination—or also by public purposes such as better employment, education, health care, scientific discovery and democratic resilience.

A credible pro-human AI agenda would therefore require more than a slogan. It would include competition policy, interoperability, public-interest access to computing infrastructure, public research funding, reform of tax incentives that favor automation, worker participation in workplace deployment, limits on algorithmic surveillance, and transparency in high-stakes automated decisions. Acemoglu’s prescriptions may be incomplete. Incompleteness invites us to develop the program, not to return decision-making to the oligopolies creating the problem.

Meanwhile, no publicly available evidence shows that The Economist’s article was commissioned by a technology company or produced as part of a coordinated campaign. Calling it a purchased attack without evidence would weaken the argument. An article does not need to be literally commissioned, however, to perform an ideological function. Its function is to narrow the boundaries of acceptable reform.

For decades, the liberal establishment was comfortable with institutional economics when it explained the poverty of developing countries through corruption, insecure property rights and authoritarian government. It becomes less comfortable when it applies the same analytical framework to Western capitalism and asks whether concentrated corporate power, weakened labor, regressive taxation, and technological oligopoly are themselves extractive institutions.

Acemoglu’s earlier work could be read as a vindication of the liberal order: inclusive Western institutions generated prosperity, whereas extraction explained stagnation elsewhere. His recent work turns the same lens inward. Formerly inclusive institutions can become extractive as wealth concentrates, labor weakens, shared prosperity recedes, and an increasingly consequential alliance forms among AI corporations, capital, and government. This resembles what I call reverse convergence: instead of drawing authoritarian systems towards Western norms, the West begins sacrificing its own restraints, competitive order and democratic commitments. The discontinuity is difficult to miss. The earlier Acemoglu was welcomed when extraction diagnosed failed states; the newer Acemoglu becomes objectionable when he asks whether the Western establishment is producing it from within.

That is the genuinely uncomfortable Acemoglu. He does not merely warn against Trump, Erdogan, Bolsonaro, or other populist-authoritarian leaders. He asks what failures of liberalism made their ascent possible. He does not excuse attacks on democracy, but he also does not let established elites present themselves as innocent guardians of a system they helped discredit.

His argument deprives the liberal establishment of its preferred moral simplicity: enlightened institutions on one side and irrational populism on the other. Between them lies the political economy of abandoned regions, insecure employment, declining mobility, concentrated wealth and citizens who experience democracy as periodic voting without meaningful influence over the forces shaping their lives.

Reform or Systemic Rupture

Acemoglu’s program may not be radical enough for the anti-capitalist left, yet it remains too interventionist for market liberals. That is precisely why it matters. It attempts to construct a reformist route between neoliberal exhaustion and authoritarian rupture.

The world does not lack warnings about populism. It lacks a political economy capable of removing the conditions from which populism draws its power. Democracy cannot survive indefinitely if its defenders offer citizens constitutional lectures while denying them economic security, social recognition and effective representation. Nor can democracy be protected merely by banning movements that attract disappointed voters. Suppressing political symptoms without addressing the economic and institutional disease risks transforming liberal democracy into rule by enlightened guardians—liberal in vocabulary but increasingly illiberal in practice.

This does not require accepting every demand articulated in the name of “the people.” Majorities can violate minority rights, attack judicial independence and empower authoritarian leaders. As Rodrik and Sharun Mukand emphasize, electoral democracy and liberal democracy are not identical. Political rights, civil rights and property rights rest on different social coalitions and may come into conflict. But defending minority rights and constitutional constraints cannot be permanently separated from material inclusion. Liberal democracy needs social and economic foundations—what Acemoglu calls shared prosperity and what Rawls approached through the fair value of political liberties.

The necessary reform must therefore go beyond ordinary regulation. It must reconsider the relationship between labor and capital, public authority and private power, national democracy and global markets. It must confront oligopoly, tax avoidance, the decline of collective bargaining, the privatization of knowledge, financial fragility and the political power accumulated by technology platforms. It must also recognize that efficiency is not the only criterion by which an economic order should be judged. Resilience, dignity, participation, social cohesion and democratic legitimacy are productive assets even when conventional models struggle to price them.

This does not make every Acemoglu proposition correct. His institutional categories can become too broad. His narratives may perform better retrospectively than predictively. His AI productivity estimate may require substantial revision. His reform agenda needs clearer instruments, stronger political coalitions, and feasible international implementation. These are reasons to debate Acemoglu seriously, not to dismiss or deny his contribution.

The Economist instead alternates between technical objections and rhetorical condescension. It asks why institutions matter if institutions emerge from earlier institutions. Yet all social explanation must begin with inherited structures, historical shocks, and political conflict. It describes pro-worker technology as obvious while economic incentives overwhelmingly favor labor substitution. It criticizes Acemoglu for underestimating technology’s benefits while neglecting his central question: who possesses the power to direct those benefits?

So, Whose Voice Is The Economist Speaking For?

Perhaps the answer is simpler than conspiracy. The Economist appears to want Acemoglu the institutional economist, but not Acemoglu the political economist of concentrated power. It was comfortable with the scholar who explained why poorer countries require better institutions; it is markedly less comfortable with the Nobel laureate who argues that the institutions of rich liberal democracies are themselves being captured and must be reconstructed. The archive therefore suggests that what changed is not simply the quality of Acemoglu’s scholarship, but the direction in which his institutional lens is now pointed.

It wants criticism of authoritarian populism without a complete investigation of the economic order that produced populist demand. It welcomes innovation but resists democratic claims over its direction. It accepts limited regulation while remaining suspicious of any project that would redistribute decision-making power from capital owners, digital platforms and credentialed elites towards workers and communities.

This does not mean that the magazine speaks under instruction from a hidden group of technology billionaires. Its voice is more structural than conspiratorial. It expresses the worldview of a liberal-capitalist establishment that recognizes the excesses of the existing order but remains reluctant to reconsider its distribution of power.

This distinction becomes decisive as the available policies and strategies approach their limits. Monetary policy is trapped between inflation and debt; fiscal policy between social demand and bond-market discipline; industrial policy between national security and retaliatory protectionism; democratic politics between electoral competition and declining governing capacity. We can already feel the breath of the next crisis. The central question is no longer whether the cards will be reshuffled, but who will be permitted to reshuffle them – and who will own the table after the reshuffle.

The defenders of the existing order may accept new leaders, a new regulatory vocabulary and even a redesigned institutional facade. What they resist is a settlement in which the groups that absorbed the old system’s losses gain real power over the new one. Their preferred reform redistributes the cards, but the old owners remain the winners: governments change, technologies change, and the language of policy changes, while command over capital, data, knowledge, and political influence remains substantially intact.

From this perspective, the attack on Acemoglu matters not simply because it targets a Nobel laureate. It attempts to weaken one of the intellectual routes leading public attention from the visible failure of governments to the deeper structures that constrain them. Acemoglu encourages us to ask not only why one government failed, but why successive governments confront the same wall; not only why populists win, but why liberal democracy no longer corrects the grievances on which they feed; and not only whether AI raises productivity, but who will control that productivity and appropriate its gains.

It favors reform, provided it does not become a transfer of power. Acemoglu’s real offense is not pessimism. It is his insistence that technological progress is a political choice, that liberal democracy cannot be separated from shared prosperity, and that markets cannot discipline concentrations of power they have themselves created.

The irony is that Acemoglu is trying to save, not destroy, the liberal order that The Economist historically defended. He warns that unless capitalism is disciplined, technology democratized, and prosperity more broadly shared, the next stage will not be a purer liberalism. It will be deeper oligarchy, more aggressive populism and an expanding authoritarian state.

The global system is running out of conventional policy space. Its monetary, fiscal, geopolitical and technological contradictions can no longer be resolved by indefinitely shifting costs onto workers, taxpayers and future generations. Either liberal democracy develops the capacity to reform the structures producing inequality, insecurity and concentrated power, or a future crisis will reform them through disorder.

One may disagree with Acemoglu’s models, historical interpretations, or remedies. But dismissing his central warnings as gloomy or obvious is not an answer. The essential question is no longer whether the existing order needs reform. It is whether reform can arrive before the next crisis—and whether reshuffling the cards will create a genuinely new settlement or merely reproduce the old winners under a new institutional name.

Cockroach Janata Party.

India’s Gen Z Cockroach Protests: Youth Mobilization, Democratic Dissent, and the Limits of Modi’s Populism

Dr. Amir Ali examines the emergence of India’s Cockroach Janata Party protests as the country’s first distinctive Gen Z protest movement, arguing that what began as a satirical online response to an official’s derogatory remark rapidly evolved into a nationwide campaign against educational injustice, government unresponsiveness, and democratic decline. Situating the movement within the broader trajectory of Indian politics, he explores how youth mobilization, meme culture, digital activism, and street protests combined to challenge the perceived invincibility of the Modi government. The article further assesses the movement’s implications for state-society relations, media credibility, educational governance, and the future of democratic dissent, suggesting that the Cockroach protests may represent a turning point in India’s contemporary politics.

By Amir Ali

When Gen Z protests took place in Nepal and Bangladesh in India’s neighborhood, and further afield in Morocco and Madagascar, a question arose in people’s minds whether such extraordinary political events could ever happen in India. India’s Cockroach Janata Party was the country’s very own bespoke Gen Z movement. The protests were prompted by remarks made by Chief Justice of India, Surya Kant. He disparagingly suggested that unemployed youngsters gravitating towards journalism and social activism were like cockroaches. An Indian student pursuing a master’s degree in public relations in Boston University in the US, Abhijit Dipke, saw an opportunity to make a meme out of the mention of cockroaches by the Chief Justice. He created the Cockroach Janata Party (CJP), parodying the nation’s formidable ruling party led by Prime Minister Narendra Modi, the Bharatiya Janata Party (BJP). The result was an internet sensation as the CJP’s social media following easily surpassed that of the ruling BJP. 

From Student Anger to Political Accountability

These events played out in the middle of May of 2026 when Dipke was still in the US. A few days earlier the National Eligibility cum Entrance Test (NEET) that close to two million youngsters in India had taken to gain admission to medical courses across the country, was cancelled. Dipke was set to return to India on the 6th of June. He announced that he would be going straight from the airport to a designated protest site in Central Delhi, called the Jantar Mantar, named after an 18th century astronomical observatory, that still stands. There was speculation that Dipke would be arrested on his arrival at the airport. He emerged in the glaring presence of India’s notoriously raucous media channels. He held a copy of B.R. Ambedkar’s autobiography to indicate his respect for the man whose name is associated with the drafting of the Indian constitution, and who is the iconic leader of India’s historically oppressed Dalit community.

Dipke was not arrested and he proceeded to Jantar Mantar where there was an underwhelming crowd that received him. This was perhaps the slightly disappointing first day of the movement that would in less than two months’ time extract a resignation from Narendra Modi’s Cabinet in the form of the Education Minister Dharmendra Pradhan. Modi’s government in the twelve years that it has been in power has become synonymous with not yielding to demands for resignation on moral grounds from the opposition and civil society. There have been some exceptions such as Minister of State for Foreign Affairs, MJ Akbar, who had to resign in 2018 when allegations of sexual assault were made against him. 

Pradhan is a member of the Rashtriya Swayamsevak Sangha (RSS) which is an ultranationalist and supremacist political movement whose political front is the ruling BJP. The Cockroach Janata Party demanded Pradhan’s resignation as Education Minister as it was under his authority that regular leaks of questions for entrance examinations to prestigious courses like medicine and engineering happened. The NEET for medical courses that had been cancelled in mid-May, had been rescheduled for late June and there was youth discontent that the Cockroach movement was able to very effectively channelize. 

How the Cockroach Movement Gathered Momentum

The Modi government throughout June and most of July remained intransigent on the question of education minister Pradhan’s resignation. The mentality of the Modi government seems to be that resignation signals weakness on its part. This stonewalling and lack of responsiveness has become something of a character trait of the Modi regime. The earlier rare exception that underlines this intransigence was in late 2021 when the Modi government backtracked on a set of farm laws it was pushing through parliament as it had angry farmers from neighboring regions blockading major arterial roads into the capital city New Delhi, with their tractors.

The Cockroach Janata Party protests received a shot in the arm when Abhijit Dipke was joined by an educational reformer and environmental activist from a remote region in the Himalayas. This was a man called Sonam Wangchuk from Ladakh. Wangchuk had recently been in jail for protests he had organized and he promptly decided to go on hunger strike to express his solidarity with the Cockroach Janata Party. One of the features of agitational Indian politics is the hunger strike undertaken as a kind of imitation of the prolonged hunger strikes that India’s founding father, Mahatma Gandhi was known to take recourse to. Wangchuk’s health kept deteriorating with the Modi government showing no signs of budging. 

When the Modi government finally moved on Saturday 18th July, exactly a week before Pradhan’s resignation on the next Saturday, it was to remove Sonam Wangchuk from the protest site by policemen who took him to a government hospital to monitor his health condition. Wangchuk demanded that the matter of examination paper leaks be taken up in the upcoming session of parliament, before breaking his hunger strike in the presence of senior government ministers. Meanwhile, the young ‘cockroach’ protesters at the Jantar Mantar protest site kept growing and the protests seemed to have graduated far beyond Sonam Wangchuk. 

When Youth Protest Shook the Modi Government

On the first day of the new parliament session on Monday July 20 when the protesters marched to Parliament, they were met by very heavy-handed police measures. Not only were they tear gassed and baton charged by the Delhi Police, but there were also allegations of pellet guns being fired. Protests were also happening across the country and in major provincial capitals like Patna and Kolkata, where provincial assembly elections had very recently returned governments from Mr. Modi’s BJP, consolidating his formidable political grip over the country. And yet, just as electorally his political grip was being strengthened in provinces which for many years had not yielded to the BJP’s political dominance, Mr. Modi was being challenged by impudent youngsters right under his nose in New Delhi.

The week beginning from Monday 20 July when the Delhi Police brutally responded to protesters, up to Saturday 25 July, when Education Minister Pradhan resigned, progressed in a politically feverish sort of way. There was speculation that there would be a cabinet reshuffle to respond to the situation, but not a resignation. 

A veritable meme revolution started as youngsters mercilessly mocked the carefully cultivated media image of Modi as a great and strong leader. Modi seemed to desperately respond with a midnight Instagram post with his haggard face far too close to the camera, eyes appearing like slits. Modi appealed to youngsters with a supposed Gen Z style of addressing them as ‘friends,’ instead of the trademark nasalized Hindi word mitron that he frequently uses. This Instagram post was interpreted and ridiculed as a sign of Modi being nervous and ruffled.

The Cockroach protests made very clear demands in addition to the resignation of the education minister, like dropping all police charges on protesting students. Soon after the resignation announcement, the protests at Jantar Mantar were a little hastily withdrawn. After yielding on the resignation, the Modi regime is unrepentantly doubling down, evident in the choice of Mr. Pradhan’s successor as Education Minister, another RSS member, which means the same educational agenda.

What Did the Cockroach Protests Achieve?

There is no doubt, as mentioned at the beginning of this article, that these were India’s unique and indeed idiosyncratic Gen Z protests. Further, the Cockroach protests are very different from the India Against Corruption movement that happened 15 years earlier in 2011, the same year as the Arab Spring and Occupy Wall Street movements took place in different parts of the world. The India Against Corruption Movement did not share the global concerns of those significant protests, democracy in the case of the Arab Spring and inequality in the case of Occupy Wall Street. 

The India Against Corruption movement was backed by the ultranationalist RSS. It contributed significantly to the catapulting of Modi to power three years later in 2014. On the contrary, the Cockroach protests have targeted the RSS and BJP’s polarizing politics of sowing division between majority Hindus and minority Muslims. Some of the slogans at this year’s Cockroach protests emphasized unity between the two religious communities. That way the Cockroach protests can be seen as extending the Shaheen Bagh protests initiated by Muslim women in a locality in Southeast Delhi to protest the Citizen’s Amendment Bill that was passed by the Modi Government in December 2019 and that threatened the citizenship status, especially of Muslims. Right wing media commentators supportive of the BJP argued that the Cockroach protests need to be suppressed. 

Continuing with the contrast between the India Against Corruption Movement of 2011 and the Cockroach protest of 2026, the differing role of the mainstream media is glaring. The 2011 India Against Corruption Movement was supported by and virtually a creation of the mainstream electronic media. Large sections excitedly beamed visuals of protestors holding candles, waving flags, and singing the national anthem to ward off corruption, in what Jawaharlal Nehru University (JNU) political scientist Ajay Gudavarthy called a television soap opera. That very same mainstream media became the infamous lapdog Godi media as they are called now in India (Godi means lap in Hindi) that has thrown all journalistic standards to the wind by never questioning the Modi government. It has also injected large doses of communal animosity into the Indian body politic by organizing inflammatory prime time debates, many blatantly Islamophobic. With the Cockroach protests, the same lapdog Godi media has met its comeuppance with Gen Z protesters chasing them away and ridiculing them for their biased and skewed coverage.

The cockroach protests have made a significant dent on the impregnable character of Modi’s government. They have done so by removing a pervasive fear across the country about criticizing the government and expressing dissent. The Cockroach protests forebode the inevitable end of the Modi regime at some point in the future. Mr. Modi’s powerful Home Minister, Amit Shah has arrogantly claimed that his party will be in power for at least another fifty years. If that were to happen, then today’s Cockroach protesters would have advanced from middle age to become elderly citizens in their sixties. The BJP’s regular electoral victories in provincial assembly elections, and especially its recent success in crucial provinces like West Bengal and Bihar, have led some to believe that it is electorally invincible. This invincibility arises in the view of its critics from a combination of massive party funds, the Election Commission of India forfeiting its constitutional neutrality by favoring the BJP, and a controversial electoral roll revision exercise called the SIR (Special Intensive Revision) that seems designed to disenfranchise some sections of the electorate. 

The Cockroach protests have laid bare India’s education crisis that twelve years of BJP rule have exacerbated. Those years have intensified the desperate situation of India’s Gen Z who would have been children when Mr. Modi came to power in 2014. Prior to the Modi regime, India’s educational system showed severe structural infirmities like unemployable graduates, and school children whose literacy and numeracy skills were way below desired levels. The BJP through its parent organization the RSS has foisted an educational policy that is uncritical, unscientific and chauvinistic in terms of claimed civilizational achievements. Rewritten textbooks are full of errors, spelling a lost generation. This is compounded by doubts about Mr. Modi’s claimed educational qualifications. Multiple Right to Information requests seeking details of his degrees have been routinely turned down.  

Cockroach Coda

The Chief Justice of India’s choice of word to characterize India’s youngsters was extremely unfortunate. In 2022 the Editors Guild of India noted a dangerous plunging of the media discourse when it compared India’s mainstream television media with Radio Rwanda, a reference to Radio Television Libre des Mille Collines that during the 1994 Rwanda genocide conveyed the chilling message to kill the cockroaches. The embrace of the word cockroach by India’s youngsters is the most significant challenge to Modi’s populist regime, jaded and clueless about how to handle India’s restive youngsters and their demands for a good education and proper employment. 

Musk, Bezos

From Wealth Concentration to Anti-Immigrant Populism: The Strategic Alliance Between Super-Rich and the Far Right

Why do some of the world’s wealthiest individuals openly support populist radical right and far-right movements whose central political message revolves around anti-immigrant and anti-minority mobilization? In this commentary, Dr. Bulent Kenes argues that this alliance is best understood not as an ideological convergence but as a pragmatic strategy for deflecting public attention from the structural roots of social injustice, economic inequality and wealth concentration. Drawing on John Rawls’s concept of the veil of ignorance, the article examines how immigrants—among the principal victims of contemporary economic and social inequalities—are transformed into convenient scapegoats. It further explores how the growing concentration of economic and digital power enables technology billionaires to amplify exclusionary narratives while marginalizing pluralistic voices, raising profound questions about democracy, algorithmic governance, and contemporary capitalism.

By Bulent Kenes

If we were to apply John Rawls’s famous veil of ignorance thought experiment, developed in A Theory of Justice, to today’s world, there is little doubt that immigrants would emerge as one of the most disadvantaged and the most vulnerable social groups. Immigrants, political refugees, in particular, as well as individuals forced to migrate for economic reasons, are compelled at some stage of their lives to leave behind their accumulated economic, social, and professional capital and begin life anew in a different country. Consequently, they typically enter their host societies from the lowest rungs of the social hierarchy. In terms of cultural, economic, and professional resources, their starting point is often below zero.

In this respect, immigrants constitute one of the most disadvantaged and vulnerable segments of society in terms of social justice and income distribution. Yet, while attempting to rebuild their lives, they are forced to contend not only with economic and social hardships but also with the prejudices generated by the rising populist radical right (PRR) and far-right parties and movements. Moreover, by being portrayed as the principal culprits behind economic inequality and social injustice, they are turned into scapegoats, a process that imposes severe socio-psychological costs on an already vulnerable population.

One point can be stated unequivocally: economically (and even culturally) driven anti-immigrant sentiment is not a phenomenon that emerges spontaneously. Social injustice and income inequality are undoubtedly real societal problems, and angry eyes are constantly searching for those responsible for them. Unfortunately, they do not always succeed in identifying the real causes. Meanwhile, for far-right actors who incite, inflame and ride the wave of resentment generated among these groups, targeting immigrants—one of the weakest, least organized, and least capable social groups in socio-political and economic terms—is both the easiest and the least politically costly strategy. Although the attempts of far-right political actors, whose humanitarian sensitivities have been considerably weakened, to exploit and simultaneously provoke this wave for political gain deserve the strongest ethical condemnation, it is nevertheless understandable why they choose this strategy within the context of political competition, which is driven less by values than by the pursuit of power. The fact that populist far right politicians such as Donald Trump, Viktor Orbán, Marine Le Pen, Nigel Farage, Geert Wilders, Robert Fico, Jarosław Kaczyński, Jimmie Åkesson, and many others have placed anti-immigrant politics at the center of political mobilization can be understood within this framework.

What is particularly striking, however, is why dollar billionaires—and even the owners of trillion-dollar companies—whose activities are largely confined to technology and the global economy, support far-right actors, PRR parties and movements, and anti-immigrant rhetoric.

In my view, the principal explanation lies in pragmatic interests. The anti-immigration discourse of the populist radical right and the far right systematically recasts those who are most severely affected by income inequality and social injustice from victims into perpetrators of these very problems. In reality, however, immigrants—alongside other disadvantaged groups—are among the greatest losers of the contemporary global economic order and the structural inequalities it generates. This is precisely where the core of the issue lies. By systematically constructing immigrants as scapegoats, far-right actors divert public attention away from the structural sources of economic inequality and social injustice. In doing so, they help obscure the role of the super-rich, who are not only the principal beneficiaries of the existing distribution of wealth but also key beneficiaries of the economic structures that reproduce and deepen these inequalities.

It is precisely at this point that the logic behind the support given by figures such as Elon Musk, Mark Zuckerberg, and Jeff Bezos—the greatest beneficiaries of the existing global economic order—to populist radical right parties and far-right actors becomes apparent. Historically, just as the East India Company and the West India Company represented the corporate actors that benefited most from the global colonial order of their time, today’s technology giants occupy a comparable position as the greatest beneficiaries of contemporary global hi-tech capitalism. The strengthening of political discourse centered on anti-immigrant sentiment diverts public attention away from these structural causes of economic inequality and wealth concentration.

Regrettably, I must note that approaches which, in recent years, have argued that anti-immigrant sentiment is fundamentally the product not of economic grievances but of a cultural backlash, even if unintentionally, contribute to strengthening this political strategy. The influence of cultural factors and identity politics cannot, of course, be denied. However, explaining anti-immigrant sentiment primarily through cultural dynamics diminishes the visibility of structural causes such as economic inequality and social injustice, while simultaneously providing the far right with an indirect—albeit problematic—source of legitimacy. The issue, therefore, is not merely one of cultural reaction; it should also be understood as a political mechanism of distraction that conceals underlying economic power relations and discourages scrutiny of the existing distribution of wealth.

If the support that the super-rich extend to the far right were merely an expression of their individual political preferences, it might not warrant such sustained attention. The issue, however, extends far beyond that. These billionaires, who have effectively acquired monopolistic positions in the technology sector, not only deploy their immense economic resources in support of far-right political movements but also possess the capacity to shape the boundaries of public discourse through the digital platforms they control, including X, Facebook, YouTube, and others. Through complex algorithmic mechanisms, these platforms are increasingly transformed into the principal channels for the circulation of far-right narratives, while alternative viewpoints, critical voices, and pluralistic perspectives experience a substantial loss of visibility.

In this process, observations suggesting that the digital visibility of actors defending liberal democratic values, pluralism, the rule of law, and humanitarian principles is being systematically weakened, while polarizing, provocative, and extremist content is algorithmically rewarded, are increasingly supported by empirical research. As a consequence, democratic actors using these platforms face not only declining public influence but also invisible, though perceptible, algorithmic barriers that make it increasingly difficult even to reach their own natural audiences.

This picture reveals the combined impact of the economic and digital power of technology barons who stand among both the principal creators and the greatest beneficiaries of the global income divide. Despite being among the primary causes and beneficiaries of wealth concentration, economic inequality, and social injustice, Elon Musk and similar actors openly support extremist, far-right political movements that systematically portray immigrants and other vulnerable socio-cultural minorities as those responsible for these problems and as convenient scapegoats. Elon Musk’s most recent extensive interview with The Economist, in which he reiterated positions supportive of the far right, together with his backing of Marine Le PenAlternative for Germany (AfD) and various other far-right parties and actors, is open to interpretation within this framework. The political positions, public rhetoric, and algorithmic maneuvers of Musk and other technology-baron billionaires function as a deliberate mechanism of distraction, obscuring the true sources of wealth concentration and structural economic inequality.

Perhaps the greatest contradiction that deserves attention, and the most fundamental question that requires an answer, is the following: Why do broad segments of society that are themselves victims of structural economic inequality and social injustice follow far-right political actors supported by the greatest beneficiaries of wealth concentration, rather than questioning the structural causes of these inequalities? More importantly, why are they tend to view immigrants and socio-cultural minorities—groups that share similar structural vulnerabilities—as the principal causes of these problems? This paradox points not only to the discursive success of the populist radical right and far right but also to a fundamental research problem requiring us to understand how public perceptions are reshaped through the influence of economic and administrative power over digital communication infrastructures.

Professor Danielle Allen.

Prof. Allen: AI Should Strengthen Human Judgment, Not Replace It

Artificial intelligence (AI) is transforming far more than information ecosystems—it is reshaping the constitutional foundations of democracy itself. In this interview with the ECPS, Professor Danielle Allen argues that the central challenge of AI is not merely technological but constitutional, requiring democratic societies to rethink representation, political power, and civic agency. Rejecting technological determinism, she contends that democratic institutions can still shape AI’s trajectory, provided they strengthen rather than diminish human judgment. Discussing populism, democratic backsliding, surveillance, intermediary institutions, digital citizenship, and constitutional reform, Professor Allen presents a compelling vision of democratic renewal grounded in one core principle: artificial intelligence should complement human capacities—not replace the judgment upon which liberal democracy ultimately depends.

Interview by Selcuk Gultasli

Artificial intelligence is rapidly transforming the institutional architecture of democratic politics. While much public debate has focused on misinformation, deepfakes, automation, and employment, a growing body of scholarship suggests that the more profound implications of generative AI lie elsewhere: in its capacity to reshape political authority, democratic representation, and the constitutional foundations of liberal self-government. As AI systems increasingly mediate public discourse, organize information, influence political preferences, and concentrate unprecedented forms of economic and computational power, the central question is no longer simply how societies should regulate a new technology, but how constitutional democracies themselves must adapt to preserve political equality, civic agency, and democratic accountability.

Few scholars are better positioned to address these challenges than Professor Danielle Allen, James Bryant Conant University Professor at Harvard University, Director of the Allen Lab for Democracy Renovation and the Democratic Knowledge Project, and one of the world’s leading political philosophers working at the intersection of constitutional democracy, citizenship, technology, and democratic renewal. In her widely discussed Journal of Democracy essay, The Real Dangers of Generative AI,” Professor Allen argues that contemporary debates have fundamentally misidentified the nature of the challenge. Rather than treating AI as merely a technological disruption, she contends that it represents a constitutional turning point requiring a fundamental rethinking of democratic institutions themselves.

In this wide-ranging interview with the European Center for Populism Studies (ECPS), Professor Allen offers a remarkably expansive framework for understanding how AI intersects with democratic governance. Rejecting the conventional separation between technology and constitutional politics, she argues that “political institutions are themselves technologies” and therefore cannot be understood independently of technological transformation. From this perspective, AI is not simply another digital innovation but a force capable of altering the institutional mechanisms through which democratic societies organize representation, distribute political power, and preserve constitutional order.

Throughout the conversation, Professor Allen explores the twin dangers confronting liberal democracies: democratic collapse, produced by the erosion of trustworthy informational infrastructures, and democratic singularity, arising from unprecedented concentrations of computational, informational, and economic power. At the same time, she rejects technological determinism. Instead, she insists that democratic societies retain the capacity to shape AI’s trajectory through institutional reform, constitutional safeguards, and renewed democratic participation.

A recurring theme throughout the interview is the centrality of human agency. Professor Allen argues that democratic renewal ultimately depends not upon resisting technological innovation but upon designing institutions that preserve civic judgment and constitutional self-government. As she puts it, “technology always develops out of a moral vision,” making AI fundamentally a political rather than merely technical question. Consequently, she maintains that the essential democratic task is not simply regulating machines but ensuring that “AI should strengthen human judgment, not replace it.” That principle ultimately serves as the interview’s normative anchor, connecting questions of constitutional design, democratic education, AI governance, intermediary institutions, populism, surveillance, and the future of liberal democracy into a single coherent vision of democratic resilience in the age of artificial intelligence.

Here is the revised version of our interview with Professor Danielle Allen, edited lightly to enhance clarity, readability, and overall flow for publication.

Political Institutions Are Themselves Technologies

Facial recognition technology.
Facial recognition technology scans individuals and displays digital identity and personal data, illustrating AI-powered biometric surveillance. Photo: Piyamas Dulmunsumphun / Dreamstime.

Professor Allen, welcome! Let me begin with your recent Journal of Democracy article, The Real Dangers of Generative AI.” You argue that public debate has focused too heavily on misinformation, deepfakes, and job displacement while overlooking AI’s deeper capacity to restructure political authority and democratic institutions. Why do you believe the greatest threat posed by generative AI is constitutional rather than merely technological, and how does this fundamentally change the way scholars should understand democratic backsliding?

Professor Danielle Allen: Thank you. It’s an important question. I would start by saying that I don’t draw a distinction between the merely technological and the constitutional. Political institutions are themselves technologies. Representation, when it was invented in the eighteenth century, along with electoral districts and voting methods and so forth, was a technology. It was a technology for channeling citizens’ voices into decision-making and producing a counterweight to the other forms of power that existed in monarchical and aristocratic structures. Consequently, any major technological change that affects information, communication, and related domains has the potential to disrupt that foundational technology through which we organize politics.

For the last four decades, policymaking circles have prioritized material well-being while substantially downgrading questions of political organization. As a result, we have underestimated and under-attended to the ways new technologies can disrupt our core political technologies because of this broader blind spot in thinking about politics. In that regard, what I’m trying to do is rectify a broader blind spot in policymaking—to help people remember that our political institutions, whether people have political empowerment, access to voice, and so forth, are essential parts of the story of human flourishing. We have to pay attention to those things as policymakers. And secondly, we have to pay close attention whenever a major disruptive technology directly interacts with those original technologies of representation.

The Concentration of Power Poses Dangers to Core Democratic Rights

You distinguish between what you call “democratic collapse” and “democratic singularity.” Could you explain how these two concepts differ? To what extent does the concentration of computational, informational, and economic power in a handful of corporations create conditions that resemble the concentration of political power traditionally associated with authoritarian regimes?

Professor Danielle Allen: Great question. What my co-author, E. Glen Weyl, and I were trying to do in that article was to describe two dangers that liberal democracies have to navigate. We call these the danger of collapse and the danger of singularity.

The danger of collapse is one in which the informational infrastructures on which you rely for popular sovereignty and institutionally driven decision-making no longer function because of misinformation, deepfakes, the collapse of identity systems, and things like that. That’s one danger the new technologies are provoking as they interact with the traditional technologies of representation.

The second danger is the concentration of power that you’ve been describing. That concentration can emerge in several ways. There’s the issue of capital, the concentration of capital, and the sort of political power that flows from it. There’s also the issue of the concentration of power through control of data and surveillance capacity. Both of those things harbor dangers to core democratic rights, whether those are rights of privacy or rights of equal voice in a political system, and so forth.

So, these are the two dangers: on the one hand, the possibility of chaos and collapse; on the other, the concentration of power. The hard question, then, is how the institutions of liberal democracy can steer through this period of rapid change and transformation, secure control over the new technologies, and truly integrate their capacities into the project of liberal self-government.

What We Really Have Is a Clash of Intermediaries

Truth Social.
Truth Social displayed on a smartphone. The social media platform, owned by Donald Trump, was launched as an alternative to mainstream social media. Photo: Rokas Tenys / Dreamstime.

Across Europe and North America, populist leaders increasingly claim to represent “the people” while simultaneously attacking intermediary institutions such as independent media, universities, courts, and civil services. Does generative AI risk accelerating precisely this populist logic by allowing leaders to communicate directly with citizens while bypassing democratic intermediaries altogether?

Professor Danielle Allen: That’s a great question. I would put the situation slightly differently. I would say it’s not so much that they’re bypassing intermediaries as deploying AI as a new kind of intermediary. In that regard, yes, the traditional intermediaries are under pressure from a new set of intermediaries. Those new intermediaries are the tech infrastructures that populists are using to communicate. In other words, when President Trump establishes Truth Social as an alternative to the existing social media platforms, he is not dispensing with intermediaries but creating his own intermediary, namely that platform.

So, what we really have is a clash of intermediaries. The challenge is that the old intermediaries—universities, newspapers, the traditional institutions, and so forth—grew up in a legal environment, and actively defended a legal environment, that placed a set of basic rights at its center: freedom of expression, freedom of conscience, freedom of civil society to maintain independence from government, and the like.

The new intermediaries, by contrast, are not necessarily dependent on those basic rights for their growth or committed to protecting them. That’s where the problem arises.

This is captured, for example, in the challenge surrounding Section 230 of the US Communications Decency Act. That provision has essentially exempted social media platforms from regulation on the grounds that regulating them would amount to regulating speech. It collapses speech and algorithms. We ought to be able to regulate algorithms, which essentially perform an editorial or publishing function, in the same way that the print media found itself regulated.

Print media was liable for libel, defamation, and similar harms because of its editorial decisions, whereas social media platforms have been exempted from all of that. Mistakenly exempted, that’s the point I’m making. Because they have been able to flourish without the kinds of careful mechanisms for balancing the protection of speech rights with protection against harms such as defamation and libel, we have experienced rampant problems of misinformation. So, the point I’m trying to make is simply that the old intermediaries have baked into them a more stable and useful rights-based structure than the new intermediaries do.

The Personalized Algorithmic Universe Is Becoming Completely Unreliable

Your work suggests that democracy ultimately depends upon citizens sharing a sufficiently common informational environment. Yet generative AI enables highly individualized persuasion at unprecedented scale. Are we moving from an era of mass propaganda toward what might be called algorithmic individualized populism, where every voter effectively receives a personalized political reality?

Professor Danielle Allen: That’s a great question. To some extent, I think the answer has to be ‘yes’. Although I think there’s a situation beyond that. What is really happening is that everybody is going to be thrown back on communication with their own trusted networks, and that’s what they will rely on as their source of information.

The personalized algorithmic universe is also one that people are already coming to recognize as completely unreliable. You can’t distinguish between AI-generated things and real things, and so forth. As we develop digital competence—and by that I mean the ability to use these tools ourselves so that we can understand how easily they can be manipulated and manipulate others—we will inoculate ourselves against some of the dangers of that algorithmic environment.

What that, then, means is that we will basically trust the people we actually know and our communications with those people. So, in a funny way, the very big world that we had made small through communications technology is about to become much bigger again. It is going to be harder for people to share trusted messages at scale, precisely because the level of distrust is going to be so high.

We Need Algorithms That Encourage People to Bridge Viewpoint Differences

Artificial Intelligence.
Artificial intelligence as a next-generation technology shaping the digital era. Photo: Dreamstime.

One striking feature of contemporary populism is its capacity to transform emotional identity into political loyalty. To what extent do recommended algorithms and generative AI amplify precisely those forms of resentment, grievance, and identity polarization upon which contemporary populist movements increasingly depend?

Professor Danielle Allen: They certainly seem to be very active contributors to that. There’s important work being done now by technologists and political scientists to propose alternative structures for algorithms that are focused on pro-social incentives—algorithmic incentives that encourage people to build more bridges across viewpoint differences—and better contextualization tools so that people can see the full spread of opinion and understand where their own opinion sits within that landscape. That helps avoid some of the effects and emotional impacts that come from the siloization of opinion.

The problems you’re describing are all very real. They are the dominant problems in our social media and algorithmic landscape at the moment. At the same time, there really is innovative new work. I’m thinking of people like Aviv Ovadya and his colleague Luke Thorburn, and others who are generating an alternative set of structures for our algorithmic foundation.

Existing Scholarly Foundations Can Be Extended Into the Age of AI

Much scholarship on democratic erosion focuses on executive aggrandizement, judicial capture, electoral manipulation, and attacks on independent institutions. Does AI require us to rethink democratic backsliding itself by recognizing that democracy may now be weakened through the concentration of technological infrastructure rather than solely through constitutional manipulation?

Professor Danielle Allen: I’m not so sure if it requires fundamentally different analytical categories. When, for example, people were studying the genocides in Rwanda, Serbia, and Croatia, one of the key technologies that facilitated them was radio and its use to spread slurs, dehumanizing rhetoric, and memes that helped frame the ultimate victims of genocide as enemies and non-humans, and things like that. My point is that the study of autocracy has long included the study of technology and mass communication. Those pre-existing scholarly foundations can simply be extended into the contemporary context. I don’t think it’s a change of kind so much as a change of scale.

We Don’t Face an Emerging Problem—We Face an Already Existing One

You argue that democracy requires not merely political equality but also a broad distribution of power. Looking at the rapid consolidation of frontier AI among a handful of technology companies, do you believe liberal democracies face an emerging form of private constitutional power that existing democratic institutions are largely unequipped to regulate?

Professor Danielle Allen: I think we don’t face an emerging problem; we face an actually existent, interior problem. It has already emerged, and it’s a totally real problem. Europe has done a better job regulating this power than the US has. I’m thinking about the GDPR(The General Data Protection Regulation) and other forms of regulation, including the recent EU AI Act. That tells me it’s not that liberal democracies lack the capacity to regulate these technologies; it’s that the US, specifically, doesn’t have the capacity right now to regulate them. So, this is not a permanent problem but a political problem here in the US.

I also think we probably have a lot to learn from the late nineteenth and early twentieth centuries, the first Gilded Age, as we call it. We’re living through a second Gilded Age, and just as in the first, industrialization produced corporations with enormous concentrations of power, robber barons, and corporations that sought monopolistic control not only of the economy but also of political structures. We’re watching a repeat of all of that.

Those concentrations of power were broken up in the early twentieth century through a very serious array of anti-trust policies. People often point to the importance of the work of Supreme Court Justice Louis Brandeis, for example. Today, there’s a whole slew of what people call neo-Brandeisian anti-monopoly policies that many are advocating. I think we do need another era of trust-busting, breaking up those concentrations of power.

I know the dynamic right now between Europe, the EU, and the US is extremely complicated and painful. I will say that I take it as good news that Europe is starting to build a path toward empowering its own tech companies. I do think that taking on the monopoly of the US firms is an important thing to do.

There’s Going to Be a Battle Between Globe-Spanning Tech Powers and Nation-States

Elon Musk.
Elon Musk—founder and CEO of SpaceX, CEO of Tesla, owner of X (formerly Twitter), and co-founder of Neuralink and OpenAI—speaks at VIVA Technology (VivaTech), June 16, 2023. Photo: Frédéric Legrand / Dreamstime.

Throughout democratic history, monopolies over information have often strengthened authoritarian rule. How different is today’s AI revolution from earlier media revolutions such as radio, television, or social media? Does generative AI represent a quantitative extension of those transformations, or does it constitute a genuinely new constitutional moment?

Professor Danielle Allen: It’s a great question. To be honest, I don’t think I really have an answer. In some ways, it’s an obvious continuation, and I’ve already mentioned that. On the other hand, the speed and scale of change are wholly new for humanity. That’s honestly the part that concerns me the most: the rapidity and the totalizing nature of it.

Take the fact that somebody like Elon Musk can, in five years, manage to have half of the world’s satellites in space. It’s probably more than half of them by now. He has the capacity to intervene directly in geopolitical decision-making among the world’s nation-states. That’s what’s fundamentally different. The earlier technologies came into existence and existed essentially within nation-states. We now have corporations with a degree of political control that puts them in a more powerful position than nation-states.

It’s not that this has never happened before. In the eighteenth century, for example, Britain faced, roughly speaking, a similar kind of problem with the East India Company. Other European powers faced similar challenges with the colonial trading empires that they first allowed to grow and then discovered had gone beyond their control. That, of course, led to the struggles in the nineteenth century between nation-state governments and those colonial companies. We are likely to see another period of that kind of struggle.

I don’t think the nation-state is doomed. I don’t think it’s doomed primarily because people still live in places. Human beings are embodied, and we are instantiated in geographic locales. Our communities matter to us, and that feature of human life, which starts from the ground and extends outward, will continue to be an important part of governance and jurisdictionality. So, in that regard, there’s going to be a battle, for sure, between globe-spanning tech powers and nation-states. I do think nation-states can win in the end. And I would argue they should win. But it’s going to be a very hard period of struggle.

Technology Should Complement Human Intelligence, Not Replace It

In “How AI Fails Us,” you criticize the dominant vision of AI as autonomous intelligence and instead advocate technologies that augment human cooperation rather than replace it. How might this alternative vision reshape democratic governance? Could cooperative AI become a tool for democratic renewal rather than democratic erosion?

Professor Danielle Allen: I appreciate that question. What really matters here is that we sometimes think the way technology is currently unfolding is somehow a matter of the laws of nature or the laws of physics—that it’s simply a natural outgrowth of nature itself. That’s a mistake, and it already gives away too much power. Technology always develops out of some kind of moral vision. By moral vision, I mean a way of understanding human beings, human capacity, and the human relationship to nature and the world.

The argument of that paper is that the moral vision behind the current technological supernova rests on a flawed premise. That premise is that there is one thing called human intelligence, that it is singular, and that machines are trying to replicate and ultimately overcome it. Whereas, in fact, human intelligence is multiple. It comes in a whole range of varieties. Machine intelligence is also multiple. That plurality of our intelligences is valuable to specific societies and to humankind as a whole.

Plurality can be activated for tribalism, conflict, and division, or it can be activated for creativity, innovation, and cultural richness. One of the most important human projects, therefore, is to give ourselves the tools to activate the plurality of our intelligences for those positive outcomes.

If you begin with that basic vision of human beings and human well-being, then you can see a completely different approach to technological development. It is an approach based on activating that plurality in a positive way, one that requires complementing human intelligences rather than trying to overcome or replace them.

Very ordinary technologies, like the Zoom technology we’re using right now, provide a good example. Zoom complements what human beings can do. We can’t see across thousands of miles, so being able to do that through Zoom supplements what we are already able to do. It doesn’t actually replace anything we were previously doing. So, one can begin to envision a host of things that would be wonderful to be able to do that are all supplemental rather than replacing our core capacities.

We Need a Formally Articulated Bill of Rights Against the Powers of AI

Authoritarian governments increasingly combine sophisticated digital surveillance with artificial intelligence, while democratic governments are also rapidly adopting AI for policing, border control, and public administration. How can constitutional democracies harness AI’s administrative potential without gradually normalizing technologies of surveillance and executive concentration that undermine liberal constitutionalism?

Professor Danielle Allen: That’s a great question. I think we’re at a point where we need a formally articulated bill of rights against the powers of AI. In the eighteenth and nineteenth centuries, as nation-states were consolidating their power, people articulated bills of rights. In the US case, we have the first ten amendments to the Constitution: rights to association, rights to expression, freedom from search and seizure without warrants, rights to trial by jury, and so forth.

All of those rights apply to the AI universe, but it is worth taking the time to elaborate on what is required to ensure that they are protected under the surveillance conditions made possible by AI. That’s a project for legal scholars—to spell out, at meaningful length, what those requirements are.

I do think the GDPR was a good model for extending those rights protections into the environment of digital data and the like. We need to keep building that edifice of crystal-clear legal protections and limitations. Again, some of the lawsuits right now against Anthropic and others, for example, for stealing authors’ works, are really important. We already have this rights-based framework, and with more investment of time and effort, we could use it much more comprehensively to cover the world of generative AI.

Generative AI Is Going to Accelerate the Capacity of Everything

AI
Photo: Dreamstime.

Recent years have witnessed growing interaction between transnational populist movements, digital platforms, and algorithmically amplified political narratives. Do you believe generative AI is likely to accelerate the emergence of increasingly coordinated transnational populist ecosystems that operate beyond the regulatory capacity of individual democratic states?

Professor Danielle Allen: Generative AI is going to accelerate the capacity of everything. It will also accelerate the capacity of pro-democracy transnational networks to operate across borders. In that regard, it only changes the balance of power if only the populists use it.

The First Thing We Need Is Functional Democratic Governance

Much current AI regulation emphasizes safety, content moderation, transparency, and risk mitigation. Yet your work argues that these approaches address symptoms rather than underlying distributions of power. What institutional reforms would be necessary if democratic governments were to regulate AI according to constitutional principles instead of primarily technological ones?

Professor Danielle Allen: The two major things we need in the US are to get rid of corruption and restore suffrage. We have experienced an incredible erosion of voting rights in the US. Those two things—corruption, by which I mean the impact of money in our politics, and the erosion of voting rights—mean that our institutions have been captured by small oligarchic minorities pursuing their own financial interests through cronyist arrangements with tech companies.

So, when people ask that question, what they’re often wondering is, “Okay, what’s the specific regulation that you need to rein in a tech company?” What I want to say is that that’s actually operating at the wrong level. The first thing you need is functional democratic governance, where power actually lies with the people. Then the people will be able to apply regulations to tech companies. 

We can devise all kinds of regulations—that’s not really the problem. The problem is whether power actually lies with the people or with the people who are in bed with the tech companies. Right now, it lies with people who are in bed with tech companies. That’s why we need fundamental reforms in the basic operations of democracy in the US to change that balance of power.

Digital Competence Matters More Than Digital Literacy

Your broader scholarship consistently emphasizes citizenship, civic identity, democratic participation, and shared constitutional purpose. In an era increasingly mediated by AI-generated information, how should democratic education evolve to prepare citizens not merely to detect misinformation but to sustain democratic judgment itself?

Professor Danielle Allen: That’s a great question. There are a lot of important pieces there. I think highly of the work of Audrey Tong in Taiwan, who argues for an education in digital competence, not just digital literacy but competence. Again, if you know how to use the tools, you’re going to inoculate yourself against being abused by people who are using them.

So that’s one thing. But, to your point about judgment, cultivating the capacity for judgment is key. That means being able to—and here I’m drawing on some work by somebody named Scott Warren—to provide accurate accounts of what people who disagree with you think and why they think it. In other words, you have to train yourself out of your own silo in order to gain access to the full picture of what people are experiencing. One way to do that is by testing whether or not you can render the best version of your opponent’s argument. That’s a very basic skill, but it is no longer very common in our systems of instruction and education.

The work of judgment also requires understanding how to relate values and principles to empirical realities. To develop those skills, you actually have to spend time thinking about values. What are your values? Where do they come from? What are their sources? How do you justify them? What are other people’s values? How do they interact with each other? The work of connecting a values-based diagnosis to a values-based solution is also a learnable skill. So, those would be three things that I would point to as important to have inside our educational offerings.

We Should Deploy Technology to Elevate Human Judgment

Finally, stepping back from current technological developments, do you believe liberal democracy is entering a constitutional transformation comparable to those produced by the printing press, industrialization, or mass broadcasting? Looking ahead, what institutional innovations will be most essential if democratic societies are to ensure that artificial intelligence strengthens rather than weakens constitutional government, political equality, and democratic self-rule?

Professor Danielle Allen: Yes, I do think we are entering another period of major constitutional transformation of that kind. I wish I could give you a list of specific changes that will help us get where we want to go, but fundamentally, we need changes that strengthen human judgment. That runs a bit against the current at a moment when so much is eroding and replacing human judgment. That’s why I advocate various election system reforms in the US, because they would strengthen human judgment.

I also think there are many ways of deploying technology to elevate human judgment rather than denigrate it. AI sensemaking tools such as Polis and vTaiwan, which are deliberative democracy tools, use natural language to allow people to express themselves in their own words, while helping to bring the themes that people have generated to the surface and making us more visible to one another. Things like this can actually help strengthen human judgment.

The hard question, which I appreciate you’re asking, is this: How do we evaluate whether a technology is strengthening human judgment or weakening it? That seems to me to be one of the criteria we need to bake into our assessments of new models, new tools, and the other technologies that emerge into the world.

Professor Aziz Huq.

Prof. Huq: The US Supreme Court Has Created the Conditions for Democratic Backsliding

As democratic backsliding increasingly unfolds through legal institutions rather than overt constitutional rupture, what distinguishes constitutional resilience from constitutional decline? In this wide-ranging interview with the ECPS, Professor Aziz Huq of the University of Chicago examines how populism, executive power, judicial doctrine, digital platforms, and artificial intelligence are transforming liberal constitutionalism in the United States and beyond. Drawing on comparative constitutional law, he argues that contemporary democratic erosion often proceeds “under the cover of law,” while warning that populists are developing their own constitutional vision. From presidential immunity and democratic backsliding to algorithmic governance and AI-driven power concentration, Professor Huq offers a timely and sophisticated analysis of democracy’s evolving constitutional challenges in the twenty-first century.

Interview by Selcuk Gultasli

Across much of the democratic world, constitutional democracy is undergoing a profound transformation. Contemporary democratic erosion rarely arrives through military coups or overt constitutional rupture. Instead, it increasingly unfolds through courts, legislatures, executive decrees, and formally legal mechanisms that gradually weaken institutional constraints while preserving the appearance of constitutional continuity. At the same time, digital platforms and artificial intelligence are reshaping the public sphere, altering the production and circulation of political information, and redistributing power between states, private technology companies, and citizens. Together, these developments raise fundamental questions about the future of liberal constitutionalism, democratic resilience, and the capacity of democratic institutions to withstand both populist governance and technological disruption.

Few scholars have done more to illuminate these intersecting challenges than Professor Aziz Huq, Frank and Bernice J. Greenberg Professor of Law at the University of Chicago. One of the world’s leading authorities on constitutional law, democratic backsliding, judicial independence, executive power, and the constitutional implications of artificial intelligence, Professor Huq has produced influential scholarship that bridges American constitutional law with comparative democratic politics. His work has fundamentally reshaped scholarly debates on constitutional resilience, the institutional foundations of liberal democracy, and the legal mechanisms through which elected governments may gradually undermine democratic competition without abandoning constitutional forms.

In this wide-ranging conversation with the European Center for Populism Studies (ECPS), Professor Huq argues that understanding contemporary democratic backsliding requires moving beyond conventional labels such as populism or authoritarianism toward a more institutional analysis of incentives, constitutional design, and political time horizons. Drawing on Mancur Olson’s theory of the “stationary bandit,” he suggests that “the crucial question” is not simply whether a leader is populist, but “what the time horizon of a populist leader is.” In his view, democratic stability depends heavily on whether political leaders remain constrained by long-term institutional incentives or instead pursue short-term extraction of political and economic rents.

Turning to the United States, Professor Huq contends that “American democratic erosion is proceeding under the cover of law.” Rather than dramatic constitutional breakdown, he identifies legal innovations—including aggressive partisan gerrymandering, expansive presidential authority, and recent Supreme Court jurisprudence—as mechanisms through which democratic competition is being incrementally weakened. Most strikingly, he argues that “the Supreme Court has been responsible for creating the conditions for democratic backsliding,” particularly through its broad conception of presidential immunity and its endorsement of constitutional doctrines that facilitate the concentration of executive power.

Yet Professor Huq’s analysis extends well beyond the American case. He argues that “populists have developed their own version of constitutionalism,” challenging the assumption that constitutionalism necessarily remains synonymous with liberal democracy. Rather than witnessing the disappearance of constitutional government, he suggests, democracies may instead be entering an era in which competing constitutional visions coexist and contest one another. Simultaneously, the digital transformation of politics introduces an additional layer of constitutional complexity. While acknowledging that empirical evidence remains incomplete, Professor Huq warns that contemporary information ecosystems reward emotional engagement over deliberation, observing that “the shift from reasoning to emotion favors populist politics.” He also cautions that, despite its transformative potential, artificial intelligence is currently reinforcing rather than reducing inequalities, concluding that “AI is concentrating power rather than leveling the playing field.”

Ultimately, Professor Huq offers neither fatalism nor easy optimism. Instead, he presents a sober institutional diagnosis of democracy’s contemporary challenges while emphasizing that democratic renewal will require rebuilding effective constitutional constraints, representative institutions, and political organizations capable of responding both to populist pressures and to the unprecedented constitutional questions raised by the digital age.

Here is the revised version of our interview with Professor Aziz Huq, edited lightly to enhance clarity, readability, and overall flow for publication.

The Crucial Question Is Whether a Populist Leader Has a Long or Short Time Horizon

Donald Trump delivers a victory speech after his big win in the Nevada caucus at Treasure Island Hotel & Casino, flanked by his sons Eric (right) and Donald Jr. (left) in Las Vegas, NV. Photo: Joe Sohm.

Professor Aziz Huq, welcome! Let me begin with your recent commentary, “The Orange Bandit.” In this commentary, you employ Mancur Olson’s distinction between “stationary” and “roving” bandits to argue that Donald Trump’s second presidency has shifted from a potentially durable governing project toward the short-term extraction of political and economic rents. How does this framework deepen our understanding of democratic backsliding beyond the conventional language of populism or authoritarianism?

Professor Aziz Huq: Mancur Olson was an important political scientist and economist who wrote an influential article explaining both the origin of states and the way states evolve into either dictatorships or democracies. Olson’s model, although a highly simplified one, offers us a way of thinking about the development of states and the ways in which they legitimate themselves over time in a fashion that I think is helpful both in the United States and more generally.

Olson’s basic model is that a state begins when a powerful force that has acted as a predator upon a population ceases to move around. It goes from being mobile to what Olson called a stationary bandit and starts extracting revenues, in the form of taxation, from a stable and geographically persistent population. That part of Olson’s model explains the origin of the state.

What’s relevant here is that Olson then identifies two different strategies that the stationary bandit can pursue. The first is to extract a relatively limited amount of revenue with the aim of maintaining long-term economic prosperity and stability, thereby enabling a high rate of revenue extraction over time, even if only a relatively small percentage of revenue is extracted in any given period. So, that is a strategy that depends upon having a long-time horizon.

The second strategy that Olson identifies is one in which the stationary bandit seeks to extract as much as it can in as short a period of time as possible. That strategy is obviously not stable, but it is likely to produce both economic deterioration and political instability over the medium term.

One thing we have seen in the second Trump administration is an acceleration of revenue- and rent-extraction activities on the part of the White House. This is underscored by reporting that appeared in the last two days, after the Project Syndicate piece that you mentioned, describing the president’s increase in assets between 2024 and the end of 2025. That reporting shows that his assets have increased by about $2 billion. Much of this comes from activities in the cryptocurrency and financial speculation space. Other parts come from deals forged either with foreign governments or through the facilitation of foreign governments via the larger Trump Organization.

What the piece argues is that what we are seeing in the United States is a transition from the first to the second form of Olson’s stationary bandit. We are witnessing a move from a stationary bandit—or a state—that has a long-time horizon and therefore is able to constrain itself when it comes to rent extraction, to one in which the incentives for constraint seem to have vanished.

What is useful about Olson’s model—not just for the American case but more generally for the study of populism—is that it foregrounds a specific and important question. That question concerns the time horizon of a populist leader. It encourages us, I hope productively, to think about why a populist leader might, at certain moments, have a long time horizon, in which they are relatively constrained in terms of revenue and rent extraction, while at other moments they may have a much shorter time horizon, in which case the incentives for restraint are much weaker.

American Democratic Erosion Is Proceeding Under the Cover of Law

Much of your scholarship argues that democratic erosion proceeds through constitutional and legal mechanisms rather than overt constitutional rupture. Looking at the United States today, which recent developments most clearly illustrate constitutional backsliding under the veneer of legality, and how has Trumpism transformed the American constitutional order in ways that may outlast Donald Trump himself?

Professor Aziz Huq: Let me give you two examples of forms of backsliding—or mechanisms of backsliding—that are presently unfolding in the United States under legal cover. The first is the reorganization of legislative districts, which are the units of representation within the national Congress, through a process known as gerrymandering. Gerrymandering involves drawing district boundaries in ways that make it almost certain that one party—the favored party—will win the election. Historically, gerrymandering has been constrained by a web of federal statutes and constitutional requirements. However, over the past 12 months, the Supreme Court has dramatically weakened those statutory and constitutional constraints, allegedly in the name of advancing democracy.

The president has pressed his political allies, first in Texas, then in Florida, and subsequently in other states, to aggressively gerrymander those states in favor of Republicans. The result is that the electoral map—initially in Republican-controlled states and then, in response, in Democratic-controlled states—has become one in which almost all districts are safely Republican or safely Democratic. In other words, politicians know in advance how those districts will vote because of their demographic composition, leaving very few genuinely competitive elections. This is a process that is producing, through formally legal means, an electoral map that is effectively glaciated and largely immune to changes in popular preferences. That is one example.

The second, much more recent example is that only last week, the US Supreme Court, in a case called Trump v. Slaughter, embraced a constitutional doctrine known as the Unitary Executive Theory. The Unitary Executive Theory holds that the president has virtually unlimited authority to remove almost all officials below him or her within the executive branch. The president has already exercised versions of the authority this theory confers by dismissing a large number of regulatory officials and prosecutors within the Department of Justice. Prosecutors within the Department of Justice who remain subject to the threat of dismissal have come under immense pressure to bring cases against individuals whom the president has identified as political opponents, including James Comey, the former Director of the FBI, and Letitia James, the Attorney General of New York State.

That is an example of a legal theory that the Supreme Court has embraced under the rubric of democracy and a particular interpretation of the Constitution—an interpretation that I find unpersuasive, to put it mildly. Its direct and significant consequence has been to facilitate the weaponization of prosecutorial power. And I know you know the Turkish case very well—but we also know from many other cases of democratic backsliding that once prosecutions become weaponized, the space for democratic contestation narrows dramatically.

History Is Made by Both Long-Term Structures and Unpredictable Moments

Jake Angeli or QAnon Shaman was among those who participated in the riots initiated by former US President Donald Trump at the Capitol, Washington D.C. on January 6, 2021. Photo: Johnny Silvercloud

Your work suggests that democratic fragility emerges from the interaction of long-term structural forces—including constitutional design, widening economic inequality, and identity politics—rather than isolated political events. To what extent should Trump’s rise be understood as a symptom of these deeper pathologies rather than their principal cause?

Professor Aziz Huq: This is a large question that verges on the philosophical. If you speak to historians, some will emphasize what French scholars call la longue durée—the tectonic, slow-moving social and economic forces that serve as the engines of historical change. Others will point to discrete events—for example, the COVID pandemic or 9/11, which, in recent memory, have been important turning points for the United States—as the principal drivers of change. Still others might point to so-called great men, particular individuals who appear to play an outsized historical role.

My own view is that both of these accounts capture part of the truth, albeit to different degrees and at different moments. I think that understanding our current political moment requires attention both to the underlying structural forces—which, as you suggest, are economic in nature and also concern cultural change—and to the particular and unpredictable effects of discrete individuals and discrete events.

For example, it would be difficult to explain Trump’s second electoral victory in 2024 without taking into account one medium-term structural factor: the rise and subsequent decline of inflation in the wake of the COVID pandemic. At the same time, it would be a mistake to explain that outcome without paying attention to discrete events, particularly the failed assassination attempts against President Trump and the manner in which he responded to it. Both of these factors are important. The weight one assigns to each is, however, in part a reflection of one’s underlying philosophical commitments.

There Are More Parallels Than Divergences Between the US and Other Backsliding Democracies

Comparative studies of democratic backsliding often highlight attacks on courts, electoral administration, the civil service, and independent oversight bodies. Does the United States now resemble trajectories previously observed in countries such as Hungary, Poland, Turkey, or India, or does its constitutional architecture produce a distinct American model of democratic erosion?

Professor Aziz Huq: There are more parallels than divergences between the United States and the other jurisdictions you mentioned. In the United States, the insulation of the independent bodies you listed has always been imperfect. The courts are probably the most constitutionally entrenched of those institutions. However, the appointment mechanism for judges to the federal bench in the United States has, since the 1780s, run through the White House and the Senate. As a consequence, it has always been politicized, and there has never been a moment in American history when the US Supreme Court, in particular, as the country’s apex court, has been meaningfully free from the partisan forces that have shaped and directed its agenda. So, the Supreme Court has always been political. It just so happened that, at the beginning of his second term, Trump inherited a Court with six justices aligned with his party, including three whom he himself had appointed.

With respect to the civil service and other independent bodies, there is a degree of insulation that is not embodied in the constitutional text but rather in federal statutes. At least this administration has been quite successful in attacking—or simply ignoring—those statutory constraints. One important way in which the United States does differ from other jurisdictions that have experienced democratic backsliding, however, is its federal structure. In this respect, it is unlike Hungary, unlike Poland, and unlike Turkey, as I understand it, although somewhat similar to India.

Critically, under the Constitution, responsibility for election administration is largely diffused across the state and local levels and is therefore insulated from direct federal control. What this means is that federal efforts to seize control of election administration face extraordinarily high transaction costs. This is why Trump has been pushing the SAVE Act in Congress, which represents an effort to partially federalize—arguably unlawfully—a number of aspects of election administration. This is also why there has been discussion of deploying immigration agents—ICE agents—to polling stations around the country in November. These are the pathways being pursued because the more direct instruments available in countries such as Hungary and Poland are not necessarily available in the United States due to its federal electoral structure.

Presidential Immunity Has Changed the Constitutional Balance of Power

Donald Trump
Photo: Aleksandr Potashev / Dreamstime.

In “The Counterdemocratic Difficulty and your work on judicial independence, you argue that courts shape democracy not merely through landmark decisions but through their broader institutional role. How should we evaluate today’s Supreme Court—and the federal judiciary more broadly—in either constraining or facilitating democratic backsliding during Trump’s second presidency?

Professor Aziz Huq: The Supreme Court has been responsible for creating the conditions for democratic backsliding, not only through the mechanisms that I’ve already identified, but also through other decisions that have made democratic backsliding much easier and much more attractive.

The most important of those decisions is one that the scholarship you mentioned does not address because it postdates that work. This is the Supreme Court’s 2024 decision granting the president a broad, almost absolute degree of immunity from criminal prosecution. That decision arose from a case involving the president’s role in the violence of January 6, 2021, and the associated efforts to derail the certification of the 2020 presidential election results. The effect of this presidential immunity ruling, which formally applies only to the president but, in practice, is likely to extend to and shield much of the conduct of the president’s subordinates, has been profound.

This is why you now see presidential advisers willing to argue that all federal agents are effectively immune from legal constraints. Stephen Miller, for example, made precisely that claim only days before ICE agents shot and killed Alex Pretti in Minneapolis, Minnesota. This is why you see not only a sense of immunity on the part of the president, but also a broader community of federal officers and agents behaving as though the law no longer applies to them. I think responsibility for that consequence—and, arguably, moral responsibility for the harms, including the deaths that have followed—must be laid at the feet of the Supreme Court that issued the immunity ruling.

Populists Have Developed Their Own Version of Constitutionalism

Across Europe and North America, populist leaders increasingly portray constitutional checks, independent institutions, and the administrative state as obstacles to the authentic will of “the people.” Has constitutionalism entered a new phase in which its greatest challenge comes not from coups or revolutions but from democratically elected governments themselves?

Professor Aziz Huq: I would modify the question slightly and distinguish between, on the one hand, liberal democratic constitutionalism, which is coming under the pressure that you describe, and, on the other hand, new populist forms of constitutionalism.

I think we make an analytical mistake—or go analytically awry—if we do not take seriously the idea that the new wave of populists, from Hungary to Turkey, from India to Japan, and even to the United States, have developed their own version of constitutionalism. That version may or may not, in some of those jurisdictions, become a durable and long-term form of constitutional order. So, I do think that we are witnessing a change in the nature, or at least the potential, of constitutionalism as a style of government.

I also think that the liberal, individual rights-focused conception of constitutionalism—and democratic in the sense of enabling not only free political choice but also the revision and reconsideration of political preferences—is the defining characteristic of liberal democracy. Those ideas are coming under increasing pressure, not simply because of innovations in American constitutional theory, but because those innovations are being diffused. They are learned in one jurisdiction after first being developed and deployed in another. What emerges from this process is not the disappearance of constitutionalism, but rather something new: a different form of constitutionalism that has yet to assume a fully coherent shape, and one that many of us—I would certainly include myself among them—are still struggling to understand and to map.

The Shift from Reason to Emotion Favors Populist Politics

You have argued that digital platforms have become part of democracy’s constitutional infrastructure rather than merely private communication spaces. How are social media platforms, algorithmic amplification, and generative AI reshaping the dynamics of populism, democratic polarization, and constitutional governance?

Professor Aziz Huq: This is a very important question, but one on which the empirical evidence remains imperfect. We know that people, not just in the United States but around the world, increasingly obtain their news and information from social media, particularly from platforms such as TikTok and Instagram, where information is broken down into very small, highly digestible components.

We also know that many—though not all—social media algorithms are designed to recommend content not on the basis of its truthfulness, but according to its likelihood of generating further user engagement. These recommender algorithms tend to steer users toward increasingly radical forms of speech—politically radical speech, as well as speech that is radical with respect to cultural and ethical norms, particularly around questions of gender and sexuality.

What we do not yet have, however, is strong evidence about how what appear to be profound structural changes in the public sphere—and I use that term both in the technical sense employed by Habermas and in the ordinary sense that most people would understand—translate into changes in political behavior. We can clearly observe that the public sphere is changing, but the number of studies linking those transformations to changes in political behavior remains relatively small, and their findings are often inconclusive.

So, we have to be very careful, as scholars, when thinking about the relationship between changing structures of public communication, on the one hand, and changing patterns of political behavior, on the other. It does seem difficult to imagine, however, that the forces broadly described as populist would not benefit from this new kind of media environment. It is hard to see how they would not be advantaged by the abbreviation of communication, by the shift from reasoning to emotion, and by the outrage- and clickbait-driven structure of the information ecosystem through which people engage with and learn about the world.

AI Is Concentrating Power Rather Than Leveling the Playing Field

Photo: Dreamstime.

Your recent scholarship examines artificial intelligence through the lenses not only of procedural fairness and due process but also distributive justice. As AI becomes increasingly embedded in courts and public administration, how might these technologies either reinforce or reduce inequalities in access to justice, legal accountability, and the rule of law?

Professor Aziz Huq: One of the issues I’ve been thinking about concerns what happens when the state, and in particular its judicial apparatus, introduces or adopts new technologies such as generative AI and other predictive tools. How do these technologies change the way adjudication is delivered? How do they affect who has access to adjudication? And how do they alter the distribution of power between the state and private actors?

At present, what we see is AI tools being adopted primarily in contexts where the adopter is a relatively powerful, centralized actor. This is true in the private sector, but it is also true in the public sector, where the most significant applications that have been studied are found in criminal law, social control, and national security. These are all areas in which the state exercises coercive power to achieve its policy objectives, often in relatively opaque ways. Yet these are precisely the domains in which we are seeing the most rapid technological adoption. That suggests that the introduction of AI generally shifts power from private actors to the state.

At the same time, however, the state is becoming increasingly dependent on a very small number of private actors for the services it requires. For example, the American state functionally relies on Amazon Web Services for much of its computing capacity. It contracts with firms such as Palantir for many of its predictive capabilities. So, even as the state becomes more powerful, it is simultaneously empowering a relatively small coterie of commercial actors. This is perhaps the clearest in the case of Palantir, whose CEO, Alex Karp, has been very public about his governing philosophy. What you therefore have is a group of private corporate actors that has become increasingly influential while holding a very particular vision of the state and of its relationship to the state. What we have seen so far is a relative concentration of power, enabled by technology, in ways that are, at least on their face, not obviously normatively attractive.

On the other hand, although there are many proposals to use generative AI and other AI tools to empower actors who would otherwise be marginalized by the criminal justice system or by ordinary adjudicative processes, it is very difficult to identify examples of such projects being implemented and operating at scale. What this suggests is that, even if AI has the potential either to level the playing field or to make it more asymmetrical, in practice it appears to be making the playing field more asymmetrical.

Militant Democracy Cannot Simply Be Imported into the Digital Age

In “Militant Democracy Comes to the Metaverse?” you revisit the theory of militant democracy to analyze digital platforms. As generative AI accelerates misinformation, deepfakes, and synthetic political communication, should constitutional democracies reconsider traditional understandings of free speech, platform neutrality, and democratic self-defense without undermining liberal constitutional values?

Professor Aziz Huq: As digital platforms become increasingly important, it is inevitable that states will reconsider the ways in which they are regulated. The theory of militant democracy, which emerged in the 1930s in response to the rise of fascism in Germany and Italy, provides us with important intellectual resources for thinking about that challenge. Militant democracy, however, has had, at best, a mixed track record in Europe. It has produced more misfires than successes.

So, part of the purpose of the paper you mentioned is to caution against any wholesale importation of militant democratic ideas into this new context. Rather, we should learn from both the successes and the failures of militant democracy and think carefully about how to adapt its successes to this new technological environment.

Populists Have Evolved Faster Than Their Democratic Opponents

Looking comparatively across the democratic world, do you believe constitutional democracies have become more resilient since the first global wave of democratic backsliding began roughly a decade ago, or have populist and authoritarian leaders simply become more sophisticated in pursuing incremental, legalistic forms of democratic erosion?

Professor Aziz Huq: What we have seen so far is rapid evolution on the side of populists, slower evolution on the side of those who oppose populists, and now, in countries such as Hungary and Poland, an effort to think about what happens after populism and how one insulates a polity from populism once it has taken hold.

I would not describe this as a situation in which one side has gained the upper hand while the other has been weakened. Rather, I would say that we have moved through different moments or cycles, each characterized by different forms of contestation and by different pragmatic and moral questions that have emerged.

The Next Great Democratic Challenge Is Rebuilding Political Representation

Voters wait in line at Mary Rose Cardenas Hall North on the University of Texas at Brownsville campus during the 2008 US presidential election on November 4, 2008. Photo: Dreamstime.

Finally, Professor Huq, if you were advising constitutional reformers seeking to future-proof liberal democracy against both authoritarian populism and the emerging challenges posed by artificial intelligence, digital platforms, and algorithmic governance, what institutional reforms would you prioritize?

Professor Aziz Huq: This is obviously the million-dollar question. And I don’t have a million-dollar answer. I do think that we have learned a lesson that the brilliant political scientist Juan Linz tried to teach us in the 1970s about what he called the perils of presidentialism. We’ve seen, time and again, the importance of having effective checks on the power of the executive branch. These can come from the courts, from so-called guarantor or fourth-branch institutions, such as auditors’ offices or independent prosecutors, and from the creation of a federal structure.

We’ve also seen the importance of building effective systems of representation that do not flow through the presidency. So, for example, in the United States, there is a real need to rethink how Congress is constituted. What are the structures of representation that generate the federal Congress? And how do you create a federal Congress that has both the incentive to respond to shifts in popular sentiment and is sufficiently coordinated to stand up to the presidency? That requires, among other things, a shift from a first-past-the-post system to a more proportional electoral system.

I also think it is difficult to imagine that this kind of reform of non-executive representative bodies can occur without also rethinking the political party structures that underpin them. One of the things that has happened over the last two decades is the collapse of traditional party structures. I think this is very clear in Europe. In the United States, you are seeing the same process unfold, albeit in a slower and more opaque fashion. The Republican Party has functionally collapsed. It has been taken over by its MAGA faction. And if you look at Democratic voters’ views of the Democratic Party, you see that the Democratic Party no longer has the kind of stable base or loyalists that it had 30 or 40 years ago. So that looks to me like a collapsed party structure of the kind that is plainly manifest in the United Kingdom, plainly manifest in France, and in other European jurisdictions. It simply has not yet taken an electoral form in the United States.

In that context, we need to think very hard about the associational forms of political representation. How do we coalesce into political communities in ways that effectively represent people, and, in particular, those who are on the sharp edge of economic change, whether that change stems from globalization or from the wave of unemployment that AI may well generate?

I don’t know if there is a general legal answer to that question. The answer in the United States is almost certainly going to be different from the answer in the United Kingdom, different from the answer in France, and different from what Turkey looks like. But it is one of the most important areas of reformist thinking that needs to be pursued over the next five to ten years.

Data center campus.

Data and Drought: A Community Fights Back

As artificial intelligence drives an unprecedented expansion of data-center infrastructure, questions of climate sustainability, democratic accountability, and technological governance are becoming increasingly urgent. In this timely commentary, Dr. Heidi Hart examines the controversy surrounding Utah’s proposed Stratos Project, a massive AI data-center complex planned for a drought-stricken region of the American West. Moving beyond conventional debates about innovation and economic growth, Dr. Hart explores how concerns over water scarcity, environmental degradation, energy consumption, and surveillance technologies have galvanized an unlikely coalition of local residents. Bringing together insights on climate politics, technocracy, populism, and grassroots mobilization, the commentary highlights how resistance to AI infrastructure is creating new political alignments and raising fundamental questions about who gets to decide the future of technology, land, and democratic participation.

By Heidi Hart

In the steppe geography of northern Utah in the US, sagebrush carries a spicy, resinous scent after a rare rainstorm. Cattle ranchers eye the land for better grazing amid historic drought. A dark rock cluster marks a 500-year-old Indigenous burial site. The northern tip of the Great Salt Lake, where Robert Smithson’s famous Spiral Jetty once disappeared underwater, now resembles a moonscape. Toxic dust from decades of industrial pollution blows across the valleys toward the heavily populated foothills of the Wasatch Mountains. 

In this already stressed land, a hyperscale data center project – originally planned to be the largest in the world, at over twice the size of Manhattan – has drawn international attention. At a time when the UN is warning about the environmental costs (including and extending beyond greenhouse emissions) of AI infrastructure, a recent study has shown that most data centers are being proposed for drought-stricken lands, and US legislatures debate the economic benefits versus costs to local communities’ quality of life, the Stratos Project in Utah has become a flashpoint for imagining the future of AI ecosystems. An unexpected side-effect of these debates has been a growing grassroots protest movement across political divides, from rural Trump-voter communities in the US South to the NAACP.

The Stratos project in Utah, conceived by Kevin O’Leary of Shark Tank fame and railroaded past any local or environmental review under the guise of military necessity, was first proposed at over 40,000 acres (62.5 square miles or 162 sqare kilometers). It would create a thermal load of close to 16 gigawatts or “the equivalent of about 23 atom bombs worth of energy … every single day,” according to Utah State University physics professor Robert Davies. With no existing electrical grid and plans to draw on the Ruby Pipeline for natural gas, the project would affect northern Utah’s already poor air quality and increase carbon emissions by 55% to 75%.  At or above 90 decibels, noise from data centers is notorious for causing hearing loss, insomnia, and even nausea in humans, not to mention the effects on wildlife in precarious desert ecosystems. 

The problem of water looms largest over the Stratos plan. Though the county government’s information site, which reads like marketing copy, estimates around 2,000 acre feet for year drawn from groundwater in a “closed-loop system,” that water is not an infinite resource, even in wetter periods, and environmental groups are only now making some headway in efforts to protect the shrinking Great Salt Lake. With global heating and atmospheric weather changes, the occasionally low-snow winters that have reduced spring runoff in the past could become the norm. Rapid population growth before and during the Covid years has also increased stress on Utah’s water supply. From irrigation and watering restrictions to the toxic dust problem, everyone in the crowded northern part of the state senses the scarcity. Add to this a massive power- and water-draining data complex, with its additional function as a surveillance machine, and locals have a reason to rise up. 

When the project was first announced earlier this year, Utah’s Republican governor Spencer Cox expressed enthusiasm for what O’ Leary called “Wonder Valley Utah” – and frustration with critics calling out the lack of review, discussion, and transparency. After finding that state leaders had approved a massive project that would affect their communities and ecosystems for generations to come, around 80 protesters confronted the Box Elder County Commission to decry lack of public input. The protests spread to the Utah State Capitol, where, on May 23, 2026, concerned citizens from across the political spectrum voiced their anger, as well as some humor about accusations that they were being paid by China. 

As a result of this pushback, and a poll finding that a majority of Box Elder County residents oppose the Stratos project, Governor Cox softened his stance in favor of public discussion and environmental review. O’Leary has agreed to scale down the project by 20,000 acres, a reduction by half. Still, local activists are not convinced. Nearly 700 protests have been filed with the Utah Division of Water Rights, a time-consuming process that has resulted in the withdrawal of two water rights applications for the data center. As of this writing, Box Elder County has approved a 180-day moratorium on data centers. 

The Stratos fight is far from over, but as in other US states, and in this one, where religious and political divides run deep, the data center threat has brought together unlikely collaborators. While not the form of populism that usually makes the news (the recent cage-fighting spectacle in front of the White House as a case in point), Utah’s anti-technocracy protest movement brings out cattle ranchers, university professors, hunters, eco-activists, churchgoers and nonbelievers, Republicans and Democrats. It’s hardly a cozy coalition, but it opens up a broader space for “the people” in a traditionally deep-red state. 

The movement also calls on Indigenous perspectives to ground its efforts. Darren Parry of the Northwest Band of the Shoshone Nation, interviewed for ECPS in 2021, has been a vocal opponent of the Stratos project, noting the Hansel Valley’s fragile ecosystem and rock-mound burial sites in the area. Parry has shared contrasting images of the high-desert valley (his own photograph) and the planned complex dominating the scene with glowing glass rectangles and steaming cooling towers. The sci-fi quality of the image is partly its point. AI can generate imaginary utopias or doomscapes, but it will take a messy, persistent human movement to keep the land itself alive.  

Social Media

The Politics of Attention: Visibility, Legitimacy, and the Transformation of Democratic Competition

As digital platforms increasingly shape how citizens encounter politics, longstanding assumptions about democratic competition are being challenged. In this insightful commentary, Yacine Boubia argues that attention has emerged as a distinct and increasingly decisive political resource, reshaping the foundations of legitimacy, influence, and power in contemporary democracies. Drawing on democratic theory, media studies, and political communication, he traces the historical transformation from an era of informational scarcity to one of informational abundance, where political success depends increasingly on the ability to command visibility. The commentary explores the rise of the influencer politician, the structural relationship between attention and populism, and the democratic consequences of communication systems optimized for engagement rather than deliberation. It offers a timely contribution to debates about democracy, media, and political power in the digital age.

By Yacine Boubia 

The dominant frameworks for understanding contemporary democratic politics remain, in their essential structure, remarkably stable. Elections are interpreted as contests between competing ideological visions. Political success is attributed to organizational strength, policy credibility, or the capacity to mobilize voters around shared material and cultural concerns. Institutions are evaluated according to their capacity to translate popular preferences into governing outcomes. These frameworks capture real and important dimensions of political life, and the scholarship they have generated—from electoral sociology to institutional analysis to the study of political communication—constitutes an indispensable foundation for understanding how democracies function.

Yet they have proven increasingly insufficient for explaining a transformation that has reshaped the terms of democratic competition over the past two decades: the emergence of attention as an autonomous political resource, distinct from votes, organizational capacity, or policy credibility, and increasingly determinative of political influence, legitimacy, and power.

This insufficiency is not accidental. The frameworks that dominate political analysis were developed within a communication environment that no longer fully exists. They assumed, often implicitly, that political information was relatively scarce, that citizens encountered it through a limited number of institutionally mediated channels, and that political competition was therefore primarily a competition for votes organized around the capacity to persuade.

The contemporary communication environment inverts each of these assumptions. Information is not scarce but superabundant. Citizens encounter political content through a multiplicity of channels whose institutional character has been progressively dissolved by commercial and algorithmic logics. And political competition, while still ultimately organized around the capacity to win elections, increasingly unfolds as a prior competition for something that votes cannot capture: the capacity to command public attention, to dominate communicative space, and to shape the political reality that citizens encounter before they have formed the preferences that democratic theory assumes they bring to the political process.

Understanding this transformation requires not a new theory of voting behavior but a historical account of how attention became political currency—and what its ascendancy has done to the conditions of democratic governance.

The Scarcity That Democracy Lost

Democratic theory has always assumed a particular relationship between citizens and political information. The deliberative tradition associated with Habermas (1989) posited a public sphere in which citizens encounter competing arguments, evaluate them against shared standards of reasonableness, and form political judgments through processes of communicative exchange. The aggregative tradition associated with electoral democracy assumed that citizens arrive at preferences through exposure to political alternatives and cast votes that translate those preferences into governing authority. Both traditions assumed, in different ways, that the problem confronting citizens was insufficient information — that the challenge of democratic participation was obtaining enough of the right kind of political content to make informed judgments. This assumption structured the institutional architecture of twentieth-century mass democracy: public broadcasting obligations, fairness doctrines, editorial standards, and regulatory frameworks governing media ownership were all, in different ways, responses to the perceived problem of informational scarcity and the democratic imperative to address it.

That problem no longer describes the condition of citizens in advanced democracies. The average American adult is estimated to encounter between six and ten thousand advertising messages per day — a figure that captures only a fraction of the total informational environment within which political content now competes for attention. News alerts, social media feeds, podcasts, video streams, online commentary, and the continuous production of digital content have created an environment not of informational scarcity but of informational superabundance — what the cognitive scientist Herbert Simon (1971) identified, with considerable prescience, as a condition in which the abundance of information creates a corresponding scarcity of attention.

The political implications of this inversion are profound and have been insufficiently theorized. When the scarce resource is not information but attention, the competition that matters is no longer primarily the competition to inform. It is the competition to be noticed—and the rules governing that competition are structured not by the norms of democratic deliberation but by the commercial and algorithmic logics of the platforms and media systems within which it takes place.

How Attention Became Political Capital

The transformation of attention into political capital did not occur suddenly with the emergence of social media platforms. It was prepared by a longer history of media commercialization whose political consequences were identified by critical scholars well before the digital age confirmed them empirically. The postwar settlement that organized mass media in most Western democracies rested on a partial and contested separation between commercial and civic imperatives: broadcasting was regulated as a public good, journalism maintained professional norms that distinguished it from entertainment, and the political information environment was organized, however imperfectly, around standards of balance, accuracy, and democratic accountability. These arrangements were neither neutral nor without their own distortions. But they embedded within the media system a set of institutional resistances to the pure logic of attention maximization that the subsequent decades of deregulation and commercialization systematically dismantled.

The consequences of that dismantling were theorized with particular clarity by scholars working at the intersection of media studies and democratic theory. Neil Postman’s (1985) diagnosis of television’s restructuring of public discourse—its substitution of image, emotion, and entertainment for the sustained argumentative exchange that print culture had historically demanded — identified the fundamental mechanism through which commercial media logic reshapes political communication. Guy Debord’s (1967) account of the society of the spectacle, developed within a different theoretical tradition, converged on the same structural observation: that the commercialization of communication progressively elevates visibility above substance, appearance above reality, and the capacity to capture attention above the capacity to govern. Daniel Boorstin’s (1961) earlier identification of the pseudo-event—the manufactured occurrence designed primarily for media coverage rather than emerging from genuine social processes—provided the most concrete institutional illustration of how the logic of attention transforms political communication from within. 

Writing in different contexts and from different theoretical perspectives, each of these scholars identified the same underlying dynamic: that media systems organized around the capture and monetization of attention progressively reward political actors who can supply what those systems demand, regardless of whether that supply serves the informational requirements of democratic citizenship.

The digital revolution accelerated and intensified this dynamic rather than reversing it. Social media platforms did not introduce the logic of attention maximization into democratic politics. They industrialized it—providing the technical infrastructure to measure attention with unprecedented precision, optimize content for its capture with algorithmic efficiency, and distribute the results at a scale and speed that no previous communication system had achieved. 

The political consequences of this industrialization were not the product of platform design choices made in bad faith. They were the structural output of commercial systems optimizing for engagement in an environment where engagement is measured by emotional activation, identity confirmation, and conflict — the precise communicative register that political communication organized around attention maximization has always, as Postman (1985) and Debord (1967) recognized, tended to favor.

Visibility, Legitamcy, and the Influencer Politician

The transformation of attention into political capital has produced consequences that extend beyond the familiar observations about media spectacle and political performance. Its deepest implication concerns the structural relationship between visibility and legitimacy in democratic politics — a relationship that has been quietly but fundamentally altered by the communication systems within which contemporary democratic competition takes place. Democratic legitimacy has historically been understood as deriving from a set of sources that are, in principle, independent of communicative visibility: electoral mandate, institutional position, policy expertise, party authority, and the capacity to govern effectively. These sources of legitimacy did not require continuous public attention to remain operative. An effective administrator, a competent legislator, or a credible party organization could exercise significant political authority while maintaining a relatively modest public profile.

The contemporary attention economy has disrupted this relationship in ways whose full implications are still being worked out. When political information reaches citizens primarily through platforms that rank content by engagement rather than by institutional authority or deliberative relevance, visibility itself becomes a source of legitimacy—not merely an instrument for communicating it. 

The political actor who commands sustained public attention acquires a form of democratic authority that is structurally independent of, and in some contexts more immediately potent than, the authority derived from institutional position or electoral mandate. This is not simply because attention-commanding actors reach more citizens, though they do. It is because the continuous presence in citizens’ informational environments that platform-mediated visibility provides constitutes, in itself, a form of political relationship—an ongoing communicative connection that substitutes, at the level of felt political reality, for the institutional relationships through which democratic authority has traditionally been organized and experienced.

The emergence of what might be termed the influencer politician represents the clearest institutional manifestation of this shift. Political authority has traditionally derived from the mediating structures of democratic governance: parties, legislatures, bureaucracies, and the formal processes through which citizens delegate authority to representatives accountable to collective institutions. The influencer politician — a figure whose political authority derives substantially from direct audience relationships built through continuous digital communication, personal branding, and the cultivation of online communities — represents a structural departure from this model that existing frameworks of democratic accountability were not designed to address. 

The boundaries separating political communication from celebrity culture and digital content creation have become genuinely blurred, not as a cultural curiosity but as a political-institutional development with significant consequences for how authority is constructed, legitimized, and challenged in contemporary democracies. Zeynep Tufekci’s (2017) account of how digital tools have transformed political organizing captures part of this dynamic, but the influencer politician phenomenon represents a further development: not merely the use of digital tools to organize existing political constituencies, but the construction of political authority itself through the logic of platform visibility.

The Communication Advantage and Its Democratic Costs

The history of modern democratic politics offers a consistent and instructive pattern: political leaders who master the dominant communication technologies of their era acquire advantages that transcend the specific content of their policy programs or the strength of their organizational support. Roosevelt’s fireside radio addresses exploited the intimacy of broadcast audio in ways that opponents trained in the conventions of print-era political oratory were unprepared to match. Ronald Reagan’s command of television — his capacity to project emotional warmth, moral clarity, and direct personal address within a medium that rewarded image and affect over argumentative substance — redefined the terms of presidential communication for a generation, demonstrating that the political resources derived from communication mastery could, in the right conditions, substantially compensate for weaknesses in policy credibility or institutional support. The pattern these cases illustrate is not merely that new media create new political opportunities. It is that new media restructure the entire field of political competition, altering the relative value of different political resources and systematically advantaging actors whose communicative capacities align with the demands of the new environment.

The political actors who have most effectively navigated the attention economy have demonstrated an intuitive understanding of this pattern. Donald Trump’s political communication represented not merely an adaptation to social media but a recognition—more explicit and more strategically deliberate than his opponents acknowledged—that the communication environment had undergone a structural shift whose implications mainstream political practice had not yet absorbed.      

His capacity to generate continuous attention through provocation, conflict, and the deliberate violation of communicative norms that the previous media environment had enforced was not a deviation from rational political strategy. It was a precise calibration to the incentive structures of platforms optimized for engagement, in an environment where engagement is disproportionately generated by content that is emotionally activating and conflict-driven. The platform algorithm did not produce his political style. But the convergence between that style and the reward structures of the attention economy gave him communicative resources that the institutional logic of democratic competition was not equipped to neutralize.

The democratic costs of this dynamic are real but require careful specification to avoid the twin errors of technological determinism and institutional nostalgia. The attention economy does not make deliberative democracy impossible. Citizens retain the capacity to evaluate political arguments, hold leaders accountable, and form political judgments that resist the simplifications that attention-maximizing communication encourages. What the attention economy does is alter the cost structure of different forms of political communication—making conflict cheaper than consensus, simplicity cheaper than complexity, and emotional activation cheaper than deliberative persuasion—in ways that systematically disadvantage the communicative forms that democratic theory has historically associated with informed political participation. This is not a claim about citizen irrationality. It is a claim about institutional design: that communication systems optimized for commercial engagement create structural incentives that are, at their core, in tension with the communicative requirements of democratic governance, and that this tension has political consequences that compound over time.

Attention, Populism, and the Restructuring of Democratic Competition

The relationship between the attention economy and the contemporary rise of populism is neither causal nor coincidental. It is structural. Populism, understood as a discursive political logic that constructs a frontier between an authentic people and a corrupt elite (Laclau, 2005), has always depended on communicative forms that the attention economy systematically rewards: emotional intensity, adversarial simplicity, the clear identification of enemies, and the cultivation of a direct affective relationship between leader and followers that bypasses the mediating institutions of representative democracy. These communicative requirements are not incidental features of populist politics. They are, as Laclau (2005) argued, constitutive of its discursive logic—the means through which diverse and otherwise disconnected grievances are articulated into a unified political identity capable of challenging established power. What the attention economy has done is not create these requirements but dramatically lower the cost of meeting them, providing the technical infrastructure through which populist communication can reach mass audiences at a scale and speed, and with a directness and emotional intensity that previous communication systems did not permit.

The implications extend beyond the electoral fortunes of specific populist movements. The deeper consequence is the progressive restructuring of democratic competition itself around the logic of attention—a restructuring that affects not only explicitly populist actors but all political actors operating within the same communication environment. When visibility becomes a prerequisite for political influence, all political actors face pressure to adapt their communication strategies to the demands of the attention economy, regardless of their ideological commitments or governing ambitions. 

The result is a gradual convergence of political communication styles toward the emotional, the conflictual, and the spectacular—a convergence that the attention economy rewards and that democratic deliberation, in its classical sense, cannot easily survive. Margaret Canovan’s (1999) observation that populism represents the permanent shadow of democracy acquires particular resonance in this context: the communication systems through which contemporary democracy operates have created conditions in which that shadow falls more heavily, and more continuously, than the institutional architecture of liberal democracy was designed to accommodate.

Conclusion: Attention, Democracy, and the Question of Institutional Design

The transformation of attention into political capital is not a temporary disruption produced by the novelty of digital platforms or the exceptional character of specific political figures. It reflects a structural shift in the communication environment within which democratic politics operates — a shift whose origins lie in the deregulation and commercialization of media that began in the 1980s and whose acceleration through platformization has produced a political information environment organized around fundamentally different imperatives than those that shaped the institutional architecture of postwar liberal democracy. 

The political consequences of this shift—the premium on visibility over competence, the restructuring of political legitimacy around audience relationships rather than institutional authority, the systematic rewarding of communicative forms that are in tension with deliberative democratic norms — are not the product of technology alone. They are the product of choices about how communication systems are designed, regulated, and governed, choices that reflect and reproduce particular distributions of power and particular understandings of what democratic communication is for.

The conventional responses to these developments — calls for platform regulation, media literacy education, the reform of campaign finance, or the restoration of public broadcasting — each address real dimensions of the problem without capturing its structural depth. The challenge is not merely to correct specific malfunctions within the existing communication environment but to recover a prior question that the attention economy has rendered increasingly difficult to ask: what kind of communicative infrastructure does democratic self-governance actually require? 

Habermas’s account of the public sphere as a constitutive condition of democratic legitimacy remains analytically indispensable here, not as a nostalgic ideal to be restored but as a standard against which the communicative conditions of contemporary democracy can be evaluated and found wanting. The public sphere that democratic theory requires is one in which citizens can encounter competing political arguments, evaluate them against shared standards of evidence and reason, and form political judgments through processes of collective deliberation. The communication environment that the attention economy has produced systematically undermines each of these requirements — not through overt censorship or deliberate political manipulation, but through the structural logic of systems optimized for engagement rather than understanding, visibility rather than accountability, and emotional activation rather than deliberative exchange.

The question facing contemporary democracies is therefore not simply who commands attention — though that question has become, as this analysis has argued, increasingly central to the distribution of political power. It is whether the institutional conditions can be reconstructed under which attention follows argument rather than precedes it, under which visibility derives from democratic accountability rather than substituting for it, and under which the communicative requirements of self-governance take precedence over the commercial imperatives of the platforms through which democratic politics now predominantly unfolds. That reconstruction is among the most consequential institutional challenges of the present democratic moment — and it cannot be addressed without first understanding, in its full historical depth, how attention became the currency it has.


 

References

Boorstin, D. J. (1961). The Image: A Guide to Pseudo-Events in America. Harper & Row.

Canovan, M. (1999). “Trust the People! Populism and the Two Faces of Democracy.” Political Studies, 47(1), 2–16.

Debord, G. (1967). La Société du spectacle. Buchet-Chastel. [English translation: The Society of the Spectacle, Zone Books, 1994.]

Habermas, J. (1989). The Structural Transformation of the Public Sphere. MIT Press.

Laclau, E. (2005). On Populist Reason. London: Verso (new edition, 2018).

Postman, N. (1985). Amusing Ourselves to Death: Public Discourse in the Age of Show Business. Viking.

Simon, H. A. (1971). “Designing Organizations for an Information-Rich World.” In: M. Greenberger (Ed.), Computers, Communication, and the Public Interest. Johns Hopkins University Press.

Tufekci, Z. (2017). Twitter and Tear Gas: The Power and Fragility of Networked Protest. Yale University Press.

Fake news.

When Lies Become Political Identity: Populism, Disinformation, and the Emotional Logic of Contemporary Politics

In this commentary, Yacine Boubia examines why political disinformation has become one of the defining challenges of contemporary democratic life. Moving beyond conventional explanations that focus on misinformation as a mere failure of fact or technology, Boubia argues that disinformation increasingly functions as a mechanism of political identity formation. Within contemporary populist politics, false narratives often derive their power not from their factual accuracy but from their ability to reinforce collective belonging, distrust of institutions, and emotional engagement. Drawing on examples from the United States, Brazil, Hungary, India, and other democratic contexts, the commentary explores how digital media ecosystems, affective polarization, and populist communication have transformed the relationship between truth, politics, and democratic legitimacy. The result, Boubia warns, is the fragmentation of shared public reality and the erosion of the deliberative foundations upon which democratic societies depend.

By Yacine Boubia

Political disinformation has become one of the defining anxieties of contemporary democratic life. Governments increasingly legislate against it, social media companies develop moderation policies intended to contain it, and fact-checking organizations work continuously to identify and correct false claims circulating online. Yet despite the multiplication of these mechanisms, disinformation not only persists but often appears politically resilient. In some cases, attempts to debunk falsehoods seem to reinforce the political narratives they were intended to weaken.

The persistence of disinformation suggests that the phenomenon cannot be understood simply as a technological malfunction or as the result of insufficient access to accurate information. Nor can it be reduced to the assumption that democratic publics have suddenly become incapable of distinguishing truth from falsehood. Such explanations remain insufficient because they misunderstand the political function disinformation increasingly performs within contemporary populist politics.

The central issue is not merely that false information circulates. Falsehood has always existed within political life. Rumors, conspiracies, propaganda, and manipulated narratives long predate the digital era. What distinguishes the contemporary moment is the transformation of the relationship between political identity, media consumption, and the perception of reality itself. Increasingly, political information is consumed less as neutral knowledge than as symbolic confirmation of collective belonging.

Within this context, disinformation often functions not primarily as a factual proposition requiring verification but as a mechanism of identity formation. It tells political communities who they are, who threatens them, and which institutions can no longer be trusted. The emotional and symbolic dimensions of such narratives frequently matter more politically than their empirical coherence.

The Populist Construction of Reality

At the heart of contemporary populist politics lies a deeply antagonistic understanding of democratic society. Politics is framed not as competition between legitimate ideological alternatives within a shared democratic framework, but as a moral struggle between a virtuous and authentic people on one side and corrupt elites on the other. This binary structure does not merely organize political preferences. It also reshapes the criteria through which truth itself is evaluated.

When populist leaders denounce mainstream media as “fake news,” portray judicial institutions as politically compromised, or present experts and academics as detached ideological actors, they are not simply criticizing specific institutions. They are constructing an alternative political epistemology — an alternative framework for determining who possesses legitimate authority to define reality.

Within this framework, distrust becomes politically productive. Suspicion toward institutional information sources functions as proof of political lucidity. The citizen who rejects mainstream narratives demonstrates independence from allegedly manipulated systems of information. Consequently, disinformation often succeeds not because it is universally believed in a literal sense, but because it reinforces existing emotional and political identities.

This helps explain why factual corrections frequently fail to reduce the circulation of false narratives. For many politically polarized audiences, fact-checking institutions themselves have become incorporated into the antagonistic political narrative. A correction issued by mainstream media may therefore strengthen rather than weaken distrust, since it appears as further evidence of elite coordination against the political community with which individuals identify.

The issue is therefore not simply informational. It is relational and symbolic. Political trust itself becomes fragmented.

Emotional Politics and the Collapse of Shared Reality

The transformation of political communication over the last two decades has intensified these dynamics considerably. Digital communication environments reward immediacy, emotional intensity, and visibility rather than reflection or deliberation. Content capable of generating outrage, fear, indignation, or moral conflict circulates more rapidly and more widely than nuanced analysis or institutional communication.

This transformation has altered the emotional structure of democratic politics.

Contemporary political communication increasingly functions according to the logic of affective mobilization. Citizens are not merely encouraged to support political programs or ideological projects; they are encouraged to consume politics emotionally and permanently. Anger, resentment, humiliation, fear, and cultural anxiety become continuous mechanisms of political engagement.

Social media platforms play a central role in this transformation. Their economic models depend fundamentally on maximizing user engagement, and emotionally activating content systematically generates higher levels of interaction than neutral or procedural information. Algorithms consequently privilege content capable of provoking strong emotional responses, creating information ecosystems increasingly organized around visibility, conflict, and polarization.

Under such conditions, populist communication acquires structural advantages. Simplified narratives opposing “the people” to enemies, elites, immigrants, globalists, or corrupt institutions adapt particularly effectively to digital environments privileging emotional intensity and rapid symbolic confrontation. Donald Trump’s communication style represented one of the clearest manifestations of this transformation. His political visibility depended not on maintaining ideological consistency or factual precision but on sustaining permanent symbolic conflict. Through X (Twitter), rallies, media provocation, and continuous attacks against institutional actors, Trump transformed political communication into a form of ongoing spectacle in which emotional engagement became more politically valuable than deliberative persuasion.

Yet Trump was not an isolated phenomenon. Comparable dynamics emerged across multiple democratic contexts. Jair Bolsonaro in Brazil, Viktor Orbán in Hungary, Narendra Modi in India, and Rodrigo Duterte in the Philippines all deployed communication strategies combining direct digital engagement, hostility toward institutional mediators, and emotionally polarized narratives opposing authentic national communities to corrupt elites or threatening outsiders.¹

While the specific ideological content differs substantially across these contexts, the communicative logic remains remarkably similar. Political legitimacy increasingly derives from claims of authenticity, emotional proximity, and symbolic confrontation rather than institutional mediation or technocratic competence.

Media Visibility and the Spectacle Imperative

The contemporary media environment further amplifies these tendencies because visibility itself has become one of the central currencies of political power.

Twenty-four-hour news cycles and platform competition create continuous pressure for emotionally stimulating and conflict-driven content. Political actors capable of generating spectacle acquire disproportionate communicative advantages regardless of the substantive coherence of their positions. Outrage becomes economically profitable.

This dynamic was visible throughout the 2016 American presidential campaign. Research conducted by Harvard Kennedy School’s Shorenstein Center demonstrated that Trump received extraordinary levels of media attention during the Republican primaries, often dominating news cycles despite relatively limited institutional support within the Republican establishment.² Coverage focused overwhelmingly on conflict, provocation, and campaign drama rather than substantive policy analysis.

Trump himself appeared highly conscious of this relationship between media economics and political visibility. In 2017, he remarked that television networks and newspapers depended heavily on his presence because “without me, their ratings are going down the tubes.”³ Although characteristically provocative, the statement reflected an important structural reality. Political spectacle had become deeply integrated into the economic logic of contemporary media systems.

This integration creates a paradox increasingly visible across democratic societies. Media institutions frequently denounce populist disinformation while simultaneously benefiting economically from the audience engagement it generates. Populist actors attack mainstream media as corrupt enemies of the people while simultaneously depending upon those same institutions for visibility and political amplification. The result is a mutually reinforcing cycle of outrage, polarization, and permanent symbolic conflict.

The Fragmentation of Democratic Public Space

One of the most significant consequences of digital political communication has been the fragmentation of shared public space itself. Traditional mass media systems, despite their limitations and ideological biases, historically exposed large segments of the population to relatively similar informational environments. Citizens consuming the same newspapers or television broadcasts could still disagree politically while operating within partially shared factual frameworks.

Contemporary digital ecosystems increasingly undermine those shared frameworks. Individuals now inhabit highly personalized informational environments shaped by algorithms, ideological preferences, and social networks. Political communities consume different sources, circulate different narratives, and often interpret political reality through entirely incompatible symbolic frameworks.

The consequence is not simply disagreement. Democratic societies have always contained disagreement. The deeper issue is the erosion of common epistemic reference points necessary for democratic deliberation itself.

When citizens no longer agree on which institutions possess legitimacy to verify information, political conflict risks becoming increasingly detached from deliberative negotiation. Politics transforms into a struggle between competing realities rather than competing interpretations of shared reality.

Under such conditions, democratic polarization becomes self-reinforcing. Every institutional intervention risks being interpreted through preexisting antagonistic narratives. Judicial rulings become evidence of political conspiracy. Journalistic investigations become proof of media manipulation. Electoral outcomes themselves become vulnerable to accusations of illegitimacy.

Disinformation therefore thrives not simply because false information circulates more effectively online, but because democratic publics increasingly lack shared mechanisms for collectively arbitrating truth claims.

Beyond Fact-Checking

None of this implies that factual accuracy no longer matters. Democratic societies remain dependent upon institutions capable of producing reliable information and sustaining informed public debate. Journalistic verification, academic expertise, and independent investigative institutions remain indispensable democratic resources. Yet the limitations of purely informational responses to disinformation have become increasingly visible.

Fact-checking alone cannot resolve political conflicts rooted in identity, emotional polarization, and institutional distrust. Correcting false claims does not automatically rebuild confidence in the institutions producing those corrections. Indeed, in highly polarized environments, such interventions may reinforce existing suspicions among audiences already convinced that institutional actors operate according to hidden ideological agendas. 

The challenge confronting contemporary democracies is therefore not solely technological or informational; It is political and cultural. Democratic systems increasingly struggle to maintain the conditions necessary for shared public deliberation in environments characterized by fragmentation, emotional mobilization, and permanent symbolic conflict. The issue is not simply how to eliminate falsehood, but how to preserve forms of political coexistence within societies where citizens increasingly inhabit different informational and emotional realities.

The rise of contemporary populist disinformation reveals less about the irrationality of democratic publics than about the transformation of political communication itself. In an age defined by digital visibility, affective polarization, and fragmented media ecosystems, political identity increasingly shapes perceptions of truth more powerfully than truth shapes political identity.

Until democratic societies confront the emotional, symbolic, and communicative transformations underlying this crisis, disinformation will remain not an anomaly within democratic politics, but one of its defining features.


 

Footnotes

¹ Cas Mudde and Cristóbal Rovira Kaltwasser. (2017). Populism: A Very Short Introduction (Oxford: Oxford University Press); Benjamin Moffitt. (2016). The Global Rise of Populism: Performance, Political Style, and Representation (Stanford: Stanford University Press).

² Thomas E. Patterson. (2016).“Pre-Primary News Coverage of the 2016 Presidential Race: Trump’s Rise, Sanders’ Emergence, Clinton’s Struggle,” Shorenstein Center on Media, Politics and Public Policy, Harvard Kennedy School, June 13, 2016.

³ Donald Trump, quoted in Tom Jones, “Does the Media Miss Donald Trump?” Poynter, March 23, 2021.

AI

Tom Davidson: Superintelligent AI Could Be Used to Undermine Democracy or Entrench Authoritarian Power

In this ECPS interview, Tom Davidson, one of the leading analysts examining the long-term implications of AGI governance, warns that humanity may be approaching an “intelligence explosion” in which AI systems rapidly improve themselves in a runaway feedback loop, potentially compressing decades of technological development into mere years. Examining the geopolitical, democratic, and civilizational implications of advanced AI, Davidson argues that democratic institutions may struggle to govern machine-speed innovation, while frontier AI systems could generate unprecedented concentrations of political, corporate, and military power. The interview explores AI-driven democratic backsliding, geopolitical rivalry between the United States and China, technocratic oligarchy, AI safety governance, and the future of political agency itself under conditions of accelerating artificial intelligence.

Interview by Selcuk Gultasli

Giving an interview to the European Center for Populism Studies (ECPS), Tom Davidson warns that the world may be approaching an unprecedented technological rupture in which advanced artificial intelligence fundamentally transforms not only economic production and geopolitical competition, but also the very foundations of democracy, sovereignty, and political agency. A Senior Research Fellow at Forethought and one of the leading analysts examining the long-term implications of AGI governance, Davidson argues that humanity may now be entering an era in which “AI systems create even more capable AI systems in a runaway feedback loop of accelerating progress.” 

Rather than treating AI merely as a question of productivity gains or consumer innovation, Davidson situates artificial intelligence within a much broader framework of systemic political transformation. In particular, he warns that the prospect of an “intelligence explosion” could compress decades of technological development into mere years, leaving democratic institutions structurally incapable of adapting to the speed of change. As he starkly observes, there is “perhaps around a 50 percent chance within the next five years” that humanity could witness such a transition, while “political institutions have no serious strategy” for understanding or governing it. 

For Davidson, the central danger is not simply technological disruption, but the possibility that accelerating AI systems may fundamentally outpace the institutional rhythms upon which liberal democracy depends. Throughout the interview, he repeatedly raises concerns about whether democratic governance — with its reliance on deliberation, elections, legal procedures, and bureaucratic processes — can continue functioning effectively under conditions of machine-speed innovation and geopolitical AI competition. In his account, societies may soon confront a world in which political crises, military confrontations, and technological breakthroughs unfold far faster than human institutions are capable of processing.

Davidson also emphasizes that advanced AI could become the decisive strategic resource of the twenty-first century. In one of the interview’s most striking arguments, he warns that the United States may eventually exercise near-unilateral control over frontier AI systems, creating a world in which “the most powerful AI systems are overwhelmingly controlled by the United States.” In such a scenario, access to superintelligent systems could become as essential to national security as access to elite human talent is today, fundamentally reshaping alliances, sovereignty, and global power hierarchies.

At the same time, Davidson warns that AI may also generate unprecedented concentrations of political and corporate power within states themselves. Because AI systems can potentially be programmed for “complete obedience,” he argues, governments or corporations could command enormous “legions” of AI workers, creating forms of technocratic centralization historically impossible under human bureaucratic systems. 

Yet despite these stark warnings, Davidson does not present technological acceleration as inevitably fatal to democracy. On the contrary, he argues that AI could also be used to strengthen democratic responsiveness, improve governance, and help societies coordinate more effectively under conditions of rapid change. The crucial question, in his view, is whether democratic societies can develop institutional mechanisms capable of governing AI before AI-driven transformations outpace human political adaptation altogether.

Here is the revised version of our interview with Tom Davidson, lightly edited for clarity and readability.

AI Could Advance Faster Than Democracy Can Adapt

Tom Davidson is a Senior Research Fellow at Forethought and one of the leading analysts examining the long-term implications of AGI governance.

Tom Davidson, welcome. To begin, in your article “The Danger of Runaway AI,” you warn that advanced AI systems could generate forms of accelerating technological progress that quickly outpace human institutional adaptation. How serious do you believe the risk of a genuine “runaway” intelligence dynamic has become, and are current political systems even conceptually prepared to govern such a transition?

Tom Davidson: As the years go by, it is becoming increasingly plausible that we may be approaching an intelligence explosion — a scenario in which AI systems create even more capable AI systems in a runaway feedback loop of accelerating progress. What is striking to me is that my professional life is centered around the Bay Area, particularly San Francisco, where many of the leading AI companies are based and where a great deal of serious thinking about these technologies is taking place. Within that ecosystem, the possibility of an intelligence explosion occurring within the next few years — and of developing superintelligent AI systems — is treated as a very real possibility. Among many people working closely on these technologies, this is almost taken for granted.

Yet when you speak to people outside that environment, there is often very little awareness of where many experts believe the technology may be heading. Public discussion still tends to focus on the mistakes made by relatively cheap, consumer-facing AI systems or on the fact that they remain imperfect at handling simple tasks or understanding human speech. As a result, these questions are still largely absent from mainstream political debate.

My own view is that there is a meaningful probability — perhaps around a 50 percent chance within the next five years — that we could see an intelligence explosion leading to extremely rapid advances in AI capability. At the moment, however, political institutions have no serious strategy for understanding what such a transition would mean, how to monitor it as it unfolds, or how to manage the profound risks it could create. Those risks include the possibility of advanced AI systems acting against human interests, the danger of AI companies using superintelligent technologies to undermine democratic processes because of the extraordinary power they would possess, and the risk of governments appropriating these systems for authoritarian purposes. I think there needs to be a much broader societal conversation about these risks.

A Secretive Intelligence Explosion Would Be Hard to Govern

Across your recent work, you distinguish between multiple feedback loops—software, chip technology, and chip production—that could enable accelerating AI development. Which of these feedback loops do you see as most politically destabilizing, and why?

Tom Davidson: That is a great question. I think the most politically destabilizing feedback loop is the software feedback loop. The reason is that designing better chips, manufacturing them, and building new data centers all take many months, if not years. Because of that, society can at least see those developments unfolding in real time. We are already witnessing this with the rapid expansion of large-scale data centers, and people are not being taken entirely by surprise. This makes hardware-driven AI progress comparatively observable and legible. It naturally generates a democratic conversation because people can physically see what is happening. In the United States, for example, communities are already pushing back against the construction of additional data centers because these developments are visible and tangible.

The software feedback loop is fundamentally different because it does not require additional chips or new data centers. The underlying hardware infrastructure can remain constant while progress comes instead from improvements in algorithms and, potentially, in the data used to train AI systems. What makes this especially concerning is, first, that it is far less observable. A company could improve its algorithms and AI systems extremely rapidly without anyone outside the organization fully understanding what is happening. In that sense, you could have a kind of secretive intelligence explosion, which obviously creates profound governance challenges.

Second, software-driven progress could happen much faster than hardware-driven progress. Building data centers is constrained by the realities of construction, permitting, and infrastructure development, all of which take considerable time. But algorithmic improvement is not constrained by those same physical bottlenecks. As a result, it is conceivable that AI development could accelerate extraordinarily quickly — perhaps compressing what would normally amount to ten years of progress into a single year.

If you look back only ten years, to around 2015, large language models did not even exist. AI systems could not really understand sentences or generate coherent paragraphs. They were capable in some highly specialized domains, such as particular games, but they lacked anything resembling broad general intelligence.

Today, however, AI systems are approaching the frontier in areas such as mathematics, cybersecurity, software engineering, and even basic scientific research. They remain limited in many ways, of course, but the scale of progress over the past decade has been remarkable.

Now imagine compressing that level of progress into a single year, beginning from a point where AI systems are already comparable to humans in AI research itself. That is the moment when the feedback loop of AI improving AI could truly begin. The outcome could be AI systems with superhuman capabilities across a wide range of research and development domains — systems capable of developing dangerous technologies, advanced weapons, sophisticated surveillance systems, or new forms of mass persuasion.

Of course, this remains a possibility rather than a certainty. It is not guaranteed that the software feedback loop would continue indefinitely because bottlenecks may emerge that slow progress down. I have done a great deal of research on whether such bottlenecks are likely to appear. But the bottom line is that it seems entirely plausible that they may not. Perhaps it is something like a 50–50 scenario.

So, we may be facing a substantial probability of an enormous amount of AI progress compressed into a very short period of time — progress that is difficult to observe, unconstrained by the need to build new infrastructure, and therefore extremely difficult to subject to democratic oversight. From the standpoint of governance and democratic accountability, that is the most concerning feedback loop.

Society May Not Understand Where AI Is Heading

Amsterdam, people.
Crowds gather along the quay to visit tall ships during Sail 2010 in Amsterdam, the Netherlands, on August 19, 2010. Photo: Jan Kranendonk.

In “Once AI Research is Automated, Will AI Progress Accelerate?” you argue that AI-driven research could eventually replace human-driven progress. What would this mean for democratic governance if scientific and technological innovation increasingly escape meaningful human comprehension and oversight?

Tom Davidson: I think it would fundamentally undermine many of the implicit mechanisms through which societies currently govern new technologies. Take something like Facebook, for example. It was certainly not governed perfectly, but at least as the technology was developed, deployed, and began reshaping society, there was a broader public conversation about its effects. People debated whether aspects of Facebook were harmful to mental health, damaging to public discourse, or socially corrosive in other ways.

Even under those circumstances, many would argue that governance arrived too late and remained too weak in the case of social media. I do not necessarily want to take a definitive position on that debate itself, but what I do want to emphasize is that, in a scenario involving an AI-driven feedback loop, there may be far less opportunity for society to understand where the technology is heading or to intervene effectively.

The first reason is simply the speed of development. Social media evolved relatively quickly, but still over the course of perhaps one or two decades. Here, by contrast, we are talking about the possibility of compressing massive advances in AI capability into just one or two years.

The second — and perhaps more alarming — factor is that, during an intelligence explosion, AI companies may not actually want to deploy these systems widely across society. Instead, they may prefer to use them internally to accelerate AI research itself. In other words, companies could face a strategic choice: do they release these systems to the outside world, or do they use them internally to build even more powerful AI systems?

There is a real possibility that companies conclude they should devote most of their computational resources to internal AI development because doing so creates a runaway feedback loop that allows them to outpace competitors. If that happens, then some of the most advanced AI systems may never be widely deployed at all.

Another reason deployment may remain limited is that these systems are typically general-purpose technologies. An AI system that is highly capable at harmless economic tasks may also prove extremely capable at dangerous activities such as offensive cyber operations or hacking.

We are already beginning to see signs of this dynamic with models such as Claude Mythos, developed by the frontier AI company Anthropic. The model was not specifically designed for cyber capabilities; if anything, it was trained to function as a highly capable software engineer. Yet it turned out to be exceptionally strong at hacking-related tasks.

As a result, Anthropic has reportedly refrained from releasing the model widely because of those capabilities, while the US government is also considering whether systems with such advanced cyber abilities should face additional restrictions.

So, we could end up in a situation where these capabilities are not broadly shared precisely because the same systems that are economically transformative are also potentially dangerous. Governments or AI companies may therefore choose to restrict access. But either way, the end result could be similar: an enormously powerful technology controlled by perhaps only a few hundred or a few thousand people, while the rest of society remains largely unaware of what is happening.

Democracies May Become Too Slow for the AI Era

Your work repeatedly emphasizes that even seemingly modest acceleration effects could radically compress political decision-making timelines. Do you worry that democratic institutions—because of deliberation, elections, and procedural constraints—may become structurally disadvantaged compared to more centralized or authoritarian systems during rapid AI transitions?

Tom Davidson: I think that is a profoundly important question. Even today, I would argue that democratic systems already struggle to keep pace with technological change. If you look at institutions such as the US Congress, they are often gridlocked and extremely slow to respond to emerging developments. Congress has so far been largely unable to pass meaningful AI regulation because the legislative process is inherently difficult and time-consuming.

The European Union, by contrast, is making a serious effort through initiatives such as the EU AI Act. But even there, these processes take many months, if not years, because democratic governance requires extensive consultation with a broad range of stakeholders and I think that inclusiveness is fundamentally a good thing. Democratic systems should involve many perspectives and competing interests. The problem is that we are still operating on human bureaucratic timescales — and those timescales are extremely slow. There is a great deal that is admirable about European democratic governance, but bureaucratic slowness becomes far more costly if technological and geopolitical developments begin unfolding at dramatically accelerated speeds.

My own view — and I cannot fully defend the argument here — is that we may eventually witness technological progress occurring perhaps ten times faster than historical norms, with political crises and strategic developments accelerating at comparable rates. AI systems could perform many forms of research, development, and decision-making work hundreds of times faster than humans.

To grasp the implications, imagine replaying the major geopolitical crises of the last century — the Cuban Missile Crisis, World War II decision-making, the Falklands conflict, or Russia’s invasion of Ukraine — but with democratic governments effectively operating ten times more slowly relative to unfolding events. A decision that once took a day would now effectively take ten days in strategic terms. Negotiations that once required a week would effectively consume months.

Under those conditions, democratic institutions could become dangerously ill-equipped to respond. Imagine a crisis like Russia’s invasion of Ukraine unfolding not over years, but over mere weeks or months because the surrounding technological environment is accelerating so rapidly. Would European governments be capable of responding militarily and diplomatically quickly enough? I am not sure they would.

This creates a very difficult dilemma. One possible response would be to centralize decision-making power — effectively reducing democratic deliberation and concentrating authority in the hands of a trusted leader capable of acting rapidly. But that is obviously an extremely dangerous path because of the immense risks associated with concentrated power.

The alternative, which I find much more promising, is to integrate AI systems deeply into democratic institutions themselves. AI could help aggregate information, advise policymakers, and even mediate negotiations between governments.

For example, instead of spending months negotiating an arms agreement between countries such as the United Kingdom and Germany, each government could explain its political, military, and economic constraints in detail to advanced AI systems. Those systems could then negotiate with one another at machine speed, exploring thousands of possible arrangements and identifying mutually beneficial outcomes that human negotiators might never discover.

Within a day, they could potentially produce a proposal that satisfies both sides far more effectively than conventional diplomacy could. Human leaders would still make the final decisions, but they would do so on the basis of AI-mediated negotiations conducted at vastly accelerated speeds.

That is a world in which democracy might still survive. Citizens and governments would continue participating in decision-making, but their interests would increasingly be represented and coordinated through trusted AI systems. In that scenario, democratic systems could preserve distributed decision-making and political pluralism while overcoming the extremely slow bureaucratic timescales that currently constrain democratic governance.

Democracies Need an AI Agreement Before a Crisis Arrives

Artificial Intelligence.
Artificial intelligence as a next-generation technology shaping the digital era. Photo: Dreamstime.

Some governments increasingly frame AI development as a geopolitical race, particularly between the United States and China. In “Should There Be Just One Western AGI Project?” you discuss how race dynamics can intensify strategic pressures. Could this competitive framing itself become one of the greatest dangers by incentivizing secrecy, deregulation, and democratic shortcuts?

Tom Davidson: Yes, I think this places the West in a very difficult position. I do believe it is extremely important for democratic countries to develop advanced AI before authoritarian states do. It would be a very dangerous world if China were to race ahead in AI and develop superintelligent systems while the West lagged behind. That is clearly a scenario we should try to avoid.

One obvious way to avoid that outcome is through competition, and that is essentially the strategy currently being pursued. Companies and governments are racing as fast as possible to develop superintelligent AI systems, with China frequently invoked as the central justification for accelerating progress.

But there is also another possibility, which is to try to work with China to slow down or pause development. I do not think that possibility should be dismissed outright. If we are dealing with a technology that could potentially be extraordinarily dangerous — perhaps even catastrophic on a global scale and potentially threatening to democracy itself — then democratic countries have strong reasons to want to slow development and reach some form of international agreement with China.

China is not currently in the strongest position in the AI race, so it could potentially benefit from an arrangement that gives it a greater role or stake in the governance of powerful AI systems. So, I think you are absolutely right that competitive race dynamics themselves represent a major risk.

I also believe there should be much greater effort devoted to figuring out what an international agreement on AI governance and development could actually look like, and to building political support for such a framework.

At the same time, I do not necessarily think that today is the moment to pause AI progress altogether. But I do think we may be approaching a point where some form of coordinated pause becomes absolutely necessary. When that moment comes, we should already have an international agreement prepared. We should not wait until a crisis emerges and only then begin trying to negotiate a deal, because the process of international coordination itself will inevitably take a great deal of time.

AI Could Create Unprecedented Concentrations of Power

In your writings on AGI centralization, you caution against excessive concentration of technological power. To what extent could the emergence of a small number of dominant AI actors—whether states or corporations—produce new forms of technocratic oligarchy incompatible with democratic pluralism?

Tom Davidson: This is a massive risk. AI is inherently a technology that can centralize power. Today, for example, military systems operate through chains of command that extend all the way to the top. But if someone issues an illegal order, individuals lower down the chain are obligated to refuse. They can say: “We are not doing that — it is illegal.”Similarly, within governments, if a president were to issue an order involving something like mass surveillance, even in a legally ambiguous situation, officials below would likely slow-roll implementation, question its legality, and resist blindly carrying out instructions. That dynamic distributes power because it means that no single individual can govern entirely alone. Leaders depend on hundreds or thousands of other people to implement their decisions, and those people retain the capacity to push back or refuse.

AI, however, is a technology that can potentially be programmed for complete obedience. It can be designed to follow instructions without question. So, one could imagine a situation in which a powerful political leader — whether the President of the United States, the leader of China, or a military ruler elsewhere — simply says: “I want my AI systems to obey my instructions absolutely.” After all, a gun does not refuse to fire depending on who it is pointed at, and a computer does not suddenly refuse to execute commands. In the same way, leaders may increasingly expect AI systems to carry out whatever instructions they are given.

The result could be a world in which a single individual commands an enormous legion of AI workers. In military settings, that could include drones and autonomous robotic systems. What this creates is the possibility that an unprecedented degree of political and military power becomes concentrated under the authority of one person.

Historically, that level of concentration has never really been possible. And the actors involved could be either governments or corporations. It could be a corporate CEO directing millions of superintelligent AI systems to help him pursue political power, perhaps even attempting to manipulate democratic institutions or orchestrate something resembling a coup.

Or it could be the head of a state deciding to replace large parts of the civil service with AI systems that simply execute instructions without resistance. You can already see early versions of this logic in projects such as Elon Musk’s DOGE initiative, which focused on eliminating inefficiencies within government bureaucracy. Once AI systems become sufficiently capable, there will be a very strong incentive to replace human workers because AI systems will appear more efficient and less expensive. That is why I think it is absolutely critical that, if governments begin replacing human officials with AI systems, those systems cannot simply obey every instruction they receive. Otherwise, the result could be an extreme and dangerous concentration of power.

Europe May Need a Plan B Beyond the United States

Photo: Maryna Kushnarova / Dreamstime.

In your recent essay on middle powers and the “intelligence explosion,” you argue that advanced AI could produce unprecedented geopolitical asymmetries in which the United States might eventually generate “99% of world GDP.” Do you think AI risks creating a fundamentally post-Westphalian world order in which technological supremacy overrides traditional ideas of sovereignty, balance of power, and democratic self-determination?

Tom Davidson: Yes, if you look at the trajectory we are currently on, all of the leading AI companies are American companies. The vast majority of the data centers housing the chips used for advanced AI are also located in the United States. And the US government is already beginning to shape decisions about who gets access to these systems. We already have situations in which models such as Mythos are being shared primarily with US companies and, to my knowledge, the only government receiving direct access is the US government itself. So, we are already moving toward a world in which the most powerful AI systems are overwhelmingly controlled by the United States. If I am right, then within the next decade we may enter a world where advanced AI systems become as essential to national security as elite human talent is today.

Imagine, for example, if the United Kingdom had no access to top human talent. Our military would be severely weakened, and our intelligence services would struggle because we would lack the expertise necessary to operate effectively. I believe we are moving toward a world in which the equivalent of top human talent increasingly consists of superintelligent AI systems.

That would create a situation in which the UK and much of Europe have access to that “talent” only if the United States chooses to provide it. From a national security perspective, that is an inherently weak position. It would give the United States immense influence over the future of Europe and the UK.

As we have seen over recent years, Europe and the UK cannot simply assume that the United States will always act in alignment with their interests. That assumption may have seemed reasonable for decades, but it was never guaranteed indefinitely. If we move into a world where the United States effectively controls the single most important input into both national security and economic prosperity, then the geopolitical implications become enormous.

Historically, the United States has certainly been powerful, but Europe and the UK have also possessed substantial economic and military leverage of their own. We may now be approaching a world in which the United States exercises near-unilateral control over the most strategically important technologies.

If that happens, then yes, I think the postwar international order would be fundamentally transformed. We could see an unprecedented concentration of economic and military power in American hands, forcing Europe, the UK, and other democratic countries to think very seriously about how they remain strategically relevant.

That may require considering options that would previously have been regarded as unthinkable. For example, if the United States refuses to grant frontier AI access to allied democratic governments, then those governments may need to use whatever leverage they still possess. The Netherlands, for instance, is home to ASML, whose lithography machines are essential for producing advanced AI chips. Those machines are currently supplied to companies manufacturing chips primarily for the United States. But European governments may eventually ask why they should continue supporting that supply chain if the resulting AI systems remain inaccessible to them. So, Europe has to think carefully about what strategic leverage it still possesses. That includes elements of the AI chip supply chain, certain forms of military influence, and soft power. Those are cards Europe may eventually need to play.

And perhaps the most controversial argument I make is that, if the United States ultimately refuses to share frontier AI access with allied democratic governments, then Europe may eventually need to consider China as an alternative strategic option. China is the only other country capable of developing these kinds of powerful AI systems at scale.

Europe and other democratic states need some kind of “Plan B.” If the United States is the only available option, then Europe has very little leverage and becomes extremely vulnerable to exclusion. So, we may eventually need to consider some quite radical shifts in foreign policy and geopolitical alignment. Given how transformative superintelligence could become, I think such geopolitical realignments would be entirely unsurprising.

AI Infrastructure Could Become the Core of Global Politics

Your proposal that middle powers may need to threaten strategic realignment toward China in order to preserve access to frontier AI raises profound questions about democratic alliances and geopolitical fragmentation. Could AI acceleration destabilize existing liberal alliances by transforming access to computation and AI infrastructure into the central axis of global politics?

Tom Davidson: Yes, I think that is likely to happen. What is particularly striking is how extraordinarily complex the semiconductor supply chain already is. There are many different stages, and each contains critical chokepoints. As I mentioned earlier, the Dutch company ASML occupies an absolutely essential position. No other company in the world is remotely close to replicating what it does. That gives the Netherlands a major bottleneck and an enormous amount of leverage if it chooses to use it — although, at the moment, it largely is not doing so.

Similarly, TSMC in Taiwan produces roughly half of the world’s advanced AI computation capacity. Again, that is a chokepoint no competitor can currently match. Taiwan therefore possesses substantial leverage if it chooses to use it, including potentially demanding access to the most powerful frontier AI systems.

What makes this even more important is that AI development appears to exhibit increasing returns to scale. It is not the case that possessing one-tenth of the computational power simply makes you one-tenth as capable. In reality, as more and more computer chips are concentrated into large training runs, the returns increase disproportionately.

As a consequence, no military or government will want to rely on an AI model that is only “half as intelligent” as the leading system. This creates strong pressure toward the emergence of a small number of extremely large AI projects that accumulate vast quantities of computational power in order to train the most capable systems possible. Those projects then become major concentrations of political and strategic power.

For that reason, I do not think it will be viable for every European country to develop its own frontier AI systems independently. Those systems would simply be much weaker and less capable than the largest models trained with enormous amounts of compute. We are already seeing this dynamic with OpenAI ordering massive numbers of chips and spending hundreds of billions of dollars, while very few competitors can realistically keep pace.

So, my own view is that the likely outcome is a small number of extremely large AI projects — perhaps one major project in China and a few major projects in the United States — combined with governance structures designed to ensure that these systems serve the interests of multiple nations.

In that sense, I am not advocating for a world of many competing national AI systems. I do not think that is realistically feasible for Europe at this stage because Europe is already too far behind technologically. What Europe can still do, however, is bargain strategically. European states can say: “We will continue supporting American mega-AI projects. We will continue helping the United States remain ahead of China and restricting China’s access to advanced chips. But in return, we expect shared access to the benefits of these systems.

Ultimately, that points toward some form of international agreement — perhaps initially informal — guaranteeing allied democracies access to a certain amount of computational capacity and to the most advanced AI systems necessary for their own national security needs.

The Current AI Order Is Already Destabilizing

AI, artificial intelligence, and the concept of fake news, misinformation, and disinformation: A man uses his smartphone displaying the red text “Fake News,” surrounded by related keywords. Photo: Dreamstime.

In “How can the middle powers avoid getting trounced during the intelligence explosion?” you also discuss the possibility of governments demanding “kill switches” on AI datacenters as a mechanism of strategic deterrence. Do you worry that AI competition could gradually normalize emergency-security logics that push democratic societies toward permanent states of technological militarization and exceptionalism?

Tom Davidson: I think that the kill switch is definitely an extreme idea. I do not think it is militaristic, and I do not think it is escalatory. In fact, I think it helps promote peace because, absent the kill switch, the United States might well be tempted at some point to say: “We have extremely powerful superintelligent AI. We know we agreed to share it with Europe, but we have changed our minds. We are imposing tariffs on access to AI or perhaps blocking access entirely.” And that very possibility is inherently destabilizing. Europe would constantly have to worry that the United States could cut it off at any moment. That becomes a major national security vulnerability because the security of democratic allies would then depend entirely on the United States choosing to support them.

So, in my view, the default situation itself is what is destabilizing. If there were a kill switch arrangement, then — although it is clearly a radical idea — it could actually function as a stabilizing mechanism. The United States would know that, if it ever seriously considered cutting allied democracies off from access to superintelligent AI systems, those allies could simply disable the relevant datacenters. They could effectively “flip the switch” and render those systems unusable. Because the United States would understand that possibility in advance, it would have a strong incentive never even to contemplate violating the agreement in the first place.

European governments, in turn, would understand that logic as well. That means Europe would no longer need to constantly fear being cut off from frontier AI systems or having its national security undermined because it would possess a credible deterrent. The very existence of the kill switch would make it less likely ever to be used. So, while the idea sounds highly unorthodox and even shocking at first glance, it could operate as a force for peace and stability because it would provide all parties with guarantees that they would not suddenly be excluded from the emerging global AI order.

Nobody Outside AI Companies Truly Understands the Risks

You argue that competition among AI actors can generate both “races to the bottom” and “races to the top” on safety. What kinds of governance mechanisms could realistically encourage democratic accountability and safety without entirely suppressing innovation?

Tom Davidson: It is a really difficult question. The main mechanism that I am currently robustly in favor of is transparency. At the moment, AI companies are not sharing all the details about how their AI systems are produced. They are not sharing all the details about the risks associated with their training methods, and they are also not disclosing all the details about the safety testing they have conducted. As a result, it is currently very difficult for people outside these companies to assess how dangerous these systems might actually be. Could they be misaligned in certain ways? Could they behave unpredictably or contrary to their intended design? Is it possible that companies themselves have biased these systems to favor their own interests — for example, by making AI systems speak more positively about the company or about AI technology than they otherwise would? 

Right now, outsiders simply cannot answer these questions with confidence. Because of that, there is also a real risk that regulation itself could become harmful. I am very aware of historical cases such as nuclear energy, where there was an enormous mistake in effectively stifling the industry during its infancy. So, I do recognize the dangers of overregulation. But disclosing much more information would allow broader society to better understand the risks and make more informed decisions about what kinds of regulation, if any, are actually necessary. Importantly, greater transparency does not necessarily require heavy-handed regulation. It could simply mean that governments decide not to purchase AI systems from companies perceived as unsafe. Or it could mean that unsafe practices damage a company’s public reputation. So, a robust first step is to demand far greater transparency.

Democracy Can Survive if AI Remains Responsive to Citizens

Finally, your work raises profound questions not only about technological acceleration but about the future of political agency itself. If AI systems increasingly drive innovation, decision-making, and governance processes, what remains uniquely human about democratic self-rule—and do you worry that liberal democracies may gradually evolve into formally democratic but substantively post-political systems?

Tom Davidson: It is a great question. I think the distinctive human role that will always remain is essentially on the consumer side, the demand side: what is it that human beings actually want? In a free-market system, that means what goods and services people want to buy and use. In a democratic system, it means how people want to be governed, what political institutions they want, what laws they want, and how they want society to be structured.

AI systems may eventually become far smarter than humans at understanding the world, predicting outcomes, and generating sophisticated policy proposals. But at the end of the day, those policy proposals still exist for the benefit of human beings. So, AI systems would still need to remain responsive to what people actually want. I think that is the core role humans will continue to play. Of course, as you suggest, there is no guarantee that humans will in fact continue to play that role. We could see growing disengagement from political processes. We could see democracies gradually sliding into autocracies — forms of democratic backsliding are already visible in countries such as the United States. And I do think there is a very significant risk of that happening.

But what we need to do, as quickly as possible, is adopt AI in ways that strengthen democracy rather than weaken it. That means deploying AI throughout government and throughout democratic processes in innovative ways — constantly helping institutions understand what people want, constantly relaying that information to policymakers, constantly informing citizens about what governments are doing, and helping citizens better understand whether political decisions are actually in their interests.

My hope is that, if we move quickly enough and remain one step ahead in using AI to enhance democratic systems, then we may be able to avoid a broader slide into authoritarianism. In that scenario, we could still preserve a healthy democratic order even if AI systems increasingly generate policy proposals and assist with governance decisions — because those systems would ultimately still operate in service of citizens’ preferences and democratic government.

Professor Quinn Slobodian.

Prof. Slobodian: For Musk and Muskism, Democracy Is Yesterday’s Problem

Professor Quinn Slobodian, Professor of International History at Boston University and one of the leading scholars of neoliberalism and the contemporary far right, argues that “Muskism” represents a profound transformation in the relationship between capitalism, technology, and democracy. In an interview with the ECPS, Professor Slobodian contends that Elon Musk embodies a new political-economic order grounded not in liberal individualism but in “a cybernetic understanding of human society” shaped by digital networks, AI, and technocratic management. According to Professor Slobodian, Musk no longer treats democracy as a meaningful political ideal: “For Musk, democracy almost appears to be yesterday’s problem.” The interview explores neoliberalism, authoritarianism, Silicon Valley’s “state symbiosis,” digital sovereignty, and the growing convergence between platform capitalism and far-right populism.

Interview by Selcuk Gultasli

Giving an interview to the European Center for Populism Studies (ECPS), Professor Quinn Slobodian, Professor of International History at Boston University, argues that “Muskism” marks a profound shift in the relationship between capitalism, technology, and democracy. In his view, Elon Musk should not be understood merely as an eccentric billionaire, but as the embodiment of a new political-economic formation built on the infrastructures of platform capitalism, artificial intelligence, military technology, and state dependency.

For Professor Slobodian, Muskism cannot be separated from neoliberalism. “It’s impossible to understand how we arrive at Muskism without considering the effects of neoliberalism,” he explains. Decades of neoliberal policy helped create the conditions under which private actors could assume functions once performed by public institutions. Yet Muskism also departs from classical neoliberalism. Rather than beginning with “consumer sovereignty” or “individual freedom,” it rests on “a kind of cybernetic understanding of human society,” imagining society as “a networked totality that must be engineered and managed to produce optimized outcomes.”

This is where the headline of the interview becomes central. According to Professor Slobodian, Muskism radicalizes neoliberal efforts to constrain democracy, but goes further by treating democracy as increasingly obsolete. While earlier neoliberal thinkers such as Friedrich Hayek and Milton Friedman remained deeply concerned with democracy as a social force, Musk, he argues, does not even “offer lip service to traditional political ideas such as civil society, deliberation, or representation.” For Musk, these concepts belong to “an outdated era of social and political life” supposedly surpassed by “technological acceleration, digital connectivity, and new forms of mediated decision-making.” As Professor Slobodian puts it starkly: “For Musk, democracy almost appears to be yesterday’s problem.”

The interview also explores Professor Slobodian’s concept of “state symbiosis.” Contrary to the familiar image of Silicon Valley elites as anti-state libertarians, he argues that today’s tech oligarchs increasingly seek not to escape the state but to merge with it. Muskism, in this sense, is not about “withering away the state,” but about selling “sovereignty as a service”—from orbital launches and satellite connectivity to AI tools for state administration.

Professor Slobodian further warns that Muskism represents “a radical departure from the liberal tradition,” replacing ideas of human dignity, agency, and representation with optimization, efficiency, and programmable social systems. At the same time, he situates Muskism within broader far-right and populist transformations, arguing that many contemporary right-wing movements are not simply anti-neoliberal reactions, but “the bastard offspring of neoliberalism itself.”

Here is the edited version of our interview with Professor Quinn Slobodian, revised slightly for clarity and flow.

Muskism Begins with the Network, Not the Individual

Professor Slobodian, welcome. In Muskism, you conceptualize Elon Musk less as an individual eccentricity than as the embodiment of an emerging political-economic order. To what extent do you see “Muskism” as a successor to neoliberalism, and to what extent is it better understood as neoliberalism mutating into a post-democratic or neo-feudal formation?

Professor Quinn Slobodian: It’s impossible to understand how we arrive at Muskism without considering the effects of neoliberalism. The basic idea that private actors can perform functions previously carried out by states better than public institutions can is really the premise on which Musk gains his initial foothold in both government and markets. A clear example is SpaceX, which got its start in 2002 through major contracts with the Pentagon and the Department of Defense.

The extent to which power has been transferred to business leaders like Musk is itself a symptom of neoliberalism. What we find distinctive about Muskism, however—and what differentiates it from neoliberalism—is partly the way it justifies itself. Rather than appealing to the language of consumer sovereignty or even individual freedom, Muskism—and this is shared more broadly among his cohort of tech leaders—rests on a kind of cybernetic understanding of human society and even of the relationship between the state and business.

Instead of viewing government as an institution that creates the conditions for individual free-market decision-making, which is the traditional neoliberal position, the Musk approach imagines society as a networked totality that must be engineered and managed to produce optimized outcomes.

So, rather than beginning with the individual, as neoliberalism ultimately does, Muskism begins at the level of the network—and that network is always already digital, a computerized world. In that sense, it feels quite different from the animating ideas of the neoliberal era, even if the extraordinarily concentrated wealth and power of someone like Musk could only emerge after decades of neoliberal policy.

Musk Treats Democracy as Something to Be Hacked

Your work repeatedly emphasizes the “encasement” of markets from democratic interference. Do contemporary tech oligarchs represent a new phase of this neoliberal project—one in which democracy is no longer merely constrained institutionally but rendered technologically obsolete through algorithmic governance and AI-driven administration?

Professor Quinn Slobodian: It does radicalize the trends that I and others have emphasized in the past when talking about neoliberalism, in the sense that it, like neoliberalism, is concerned with constraining the space for citizen input and citizen action to ensure that outcomes align with a preconceived idea of how law and policy should function.

In Globalists and other works, I and others have discussed how the creation of counter-majoritarian institutions and forms of international economic law that sit above the decision-making power of sovereign governments serve to guarantee market outcomes, even in the face of hesitation or resistance from populations. So, there was always this tension between protecting capitalism and respecting democracy. At times, democracy itself seemed to have to be partially suspended in order to secure the kind of capitalist outcomes policymakers wanted. The difference with Musk and Muskism is that there is far less serious consideration of the legitimacy of democracy altogether.

Even thinkers like Friedrich Hayek or Milton Friedman—or, at the more radical end, figures such as Murray Rothbard and the anarcho-capitalist tradition—however wary they were of democracy, majoritarianism, or populism, still understood democracy as something they had to contend with. There was, in a sense, a kind of respect for the social force democracy represented and for the symbolic value it held for ordinary people. What is extraordinary about someone like Elon Musk is that he does not even offer lip service to traditional political ideas such as civil society, deliberation, or representation. These concepts seem to him to belong to an outdated era of social and political life that has been transcended by technological acceleration, digital connectivity, and new forms of mediated decision-making.

So, democracy is no longer even something to be worried about in the way Hayek, for example, was endlessly preoccupied with it. For Musk, democracy almost appears to be yesterday’s problem. The technocratic engineering mentality he brings into politics treats democracy as just another technical issue to be hacked and aligned with one’s own interests.

This also applies to his relationship with the European far right—to perhaps anticipate a question you might ask—because the conventional journalistic interpretation of his ties to figures such as Alice Weidel, Tommy Robinson, or far-right actors in Poland and elsewhere is that they reflect ideological sympathy or a shared commitment to anti-immigrant politics or even white supremacist ideas. But I do not think that is the most accurate way to understand it. I think Musk sees far-right parties in highly functional terms. He views them as the parties of the future, destined to replace the legacy formations of social democracy, Christian democracy, and political centrism.

From that perspective, it makes sense for him to align himself with what he sees as the future engines of European politics—not out of any principled commitment to self-determination or popular sovereignty, but because such alliances are more functional for his business interests.

This very thin understanding of politics—one that treats politics memetically and as a series of engineering problems—is difficult for many people to grasp because we still instinctively assume that popular sovereignty remains an important political force. What is striking about Musk is that he no longer seems to believe it even requires attention.

Silicon Valley No Longer Wants to Escape the State

Silicon Valley Technology Center in San Jose, California. Photo: Joe Sohm / Dreamstime.

You argue that Silicon Valley elites are not anti-state libertarians but proponents of “state symbiosis.” How does this alter conventional understandings of authoritarianism? Are we witnessing the emergence of a privatized authoritarianism in which sovereignty is increasingly outsourced to platform monopolies?

Professor Quinn Slobodian: One of our main goals with the book was to reshape the conversation around Silicon Valley ideology. It has become quite common to describe Silicon Valley leaders as libertarians, and at one point that may indeed have been a reasonably accurate characterization. But that is far less true today.

One important thing to recognize is that digital capitalism has now existed for several decades, and Silicon Valley’s business model has changed dramatically since the mid-1990s, when internet infrastructure was first handed over to private interests. There have essentially been three distinct phases during this period, and the politics associated with Silicon Valley have largely reflected the dominant economic model of each phase.

At the dawn of the internet in the late 1990s, it was still possible to imagine the web as a genuinely de-territorialized space existing outside the boundaries of any single nation-state, enabling radical new forms of interaction, value creation, and community. That vision had a certain plausibility. It also aligned with clear business interests, since companies were attempting to build a parallel digital world of retail and payments. So, when Peter Thiel in the 1990s declared, “I’m a libertarian, and what I’m trying to do at PayPal is create stateless money,” that framing was not entirely implausible. It was a reasonable way to understand what was emerging at the time.

Roughly a decade later, after the dot-com boom and bust, the dominant model became Web 2.0: social media, platforms, apps, Uber, Facebook, Twitter, and so forth. These businesses were largely asset-light. They required relatively little capital expenditure and functioned primarily by creating open digital spaces in which users generated data that could then be monetized through advertising.

Even during that period, Silicon Valley ideology did not need to engage very seriously with the state. These companies portrayed themselves as building a parallel world of socialization and commerce that required little from government beyond permission to continue operating and generating profits.

What changes in the present moment is the rise of generative AI and the renewed focus on hard-tech industries. Just today, for example, there was a report about Anduril—the defense startup focused on drones, missiles, and military logistics—which doubled its valuation over the last year from $30 billion to $60 billion.

Musk now increasingly sees the state itself as his market: selling orbital launches to governments, selling satellites—or access to satellites—for battlefield operations and rural connectivity, and selling XAI chatbot software for government administration. This shift toward military technology and generative AI has fundamentally altered Silicon Valley’s relationship with government, and with it, its political philosophy. It no longer makes much sense to call yourself a libertarian when the government is your primary customer. Nor does libertarianism fit a situation in which companies rely on government to open federal lands for drilling, rewrite regulations, and guarantee preferred access to contracts. The fusion between state and private actors has become impossible to ignore.

At the same time, I do not think it is convincing to interpret all of this simply as the hollowing out or withering away of the state. You asked whether this represents the privatization of sovereignty away from government. We would describe it instead as “sovereignty as a service.” Certain state functions are privatized, but this process simultaneously expands state capacity. Access to low-Earth orbit, for example, or to integrated bureaucratic databases that can be queried across agencies in previously impossible ways—these developments do not diminish state power; they increase it.

Muskism Is About Becoming Part of the State

Caricature: Shutterstock.

For that reason, it is important to understand Musk and Muskism as more than simple forms of rentierism or crony capitalism. Personally, I think terms such as “techno-feudalism” can be misleading because they suggest a backward or regressive form of capitalism in which private actors merely carve out digital fiefdoms and extract rents from dependent populations. That does not really capture what is happening. Countries such as China, Russia, and the United States are, in many respects, becoming more centrally powerful through access to the products and services developed by tech companies. At the same time, however, they are becoming increasingly dependent on those same companies.

This is why the balance of what we call “symbiosis” is so precarious and requires careful attention. It can easily tip into parasitism if the relationship becomes too unbalanced. Conversely, private firms may defect if they feel excessively pressured by their state clients.

We have seen examples of this dynamic even in recent months. The Department of Defense and Pete Hegseth’s staff suddenly declared Anthropic to be a supply-chain risk and sought to remove its software from government systems. Initially, this looked like an assertion of state authority over the private sector. But almost immediately, two things happened: courts ruled against the decision, and other tech firms rallied behind Anthropic, effectively saying, “We do not want to be subjected to arbitrary state decision-making, and we also want collective influence over how our products are used.”

So, what we are seeing is a partnership, an alliance, a fusion—however one chooses to describe it. But it is no longer the libertarian fantasy historically associated with Silicon Valley: escaping the state, building private cities, or founding sovereign communities on decommissioned oil rigs in Honduras. That may have been a plausible understanding of Silicon Valley in 2000, or perhaps even in 2009. But by 2026, the dynamic is much more about becoming part of the state than escaping it.

Tech CEOs Are Not Sovereigns

In your discussion of “sovereignty as a service,” firms such as SpaceX, Palantir, and Starlink appear not simply as contractors but as infrastructural sovereigns. Does this imply a transformation of the Weberian state itself—from a monopoly of legitimate violence to a dependency network mediated by corporate platforms?

Professor Quinn Slobodian: I think we are deliberately stopping short of that argument because we are not saying that Musk, Zuckerberg, and Bezos are sovereigns. They are not.

What is interesting about the DOGE moment we discuss in the final chapter of the book is that it serves as a revealing test case of how far a tech CEO can govern directly in practice. How far can that line actually be pushed? Can the tech lord effectively become the formal national government? What we saw was that Musk was actually quite bad at it. He not only failed to achieve the goals he had set for himself in terms of reducing state costs, but he also failed to secure legitimacy from the American public at a very basic level. His popularity plummeted during his time in Washington, and he did not emerge as a sovereign figure, as it were.

So, to us, the division of labor between traditional governments and tech firms remains essential. Governments still perform the old-fashioned functions of securing consent and legitimacy, and that remains a necessary condition for the expansion of tech leaders’ power. They do not need to govern directly, nor do they need to seize sovereignty for themselves. Contracting out sovereignty—what we describe as selling “subscription sovereignty,” as it were—is not the same thing as actually being sovereign. Those are distinct categories, and it is important to keep them separate. 

Some of the more exaggerated alarm bells surrounding tech power too quickly jump to the conclusion that these figures have become new emperors or kings. But they have not. Nor do they necessarily want to be. What is interesting, of course, is that Musk has called himself “Technoking” at Tesla since 2021 rather than CEO. But in practical terms, these people are not especially good at governing. While governments increasingly outsource certain capacities to tech lords, the tech lords, in turn, outsource governing back to states. So far, that arrangement appears relatively stable and not easily disrupted in any fundamental way.

At the same time, what is fascinating about the present moment is that the disruptive effects of generative AI are creating such intense public attention around new technologies that figures like Dario Amodei and Sam Altman increasingly feel compelled to address populations in quasi-political or quasi-governmental terms. They now say things like, “We have a constitution for our AI,” or “Here is our vision for a public wealth fund,” or “Here is our proposal for fiscal policy.” In that sense, they are increasingly treated as though they are co-governing alongside agencies in Washington, D.C. But practically speaking, I still think there remains at least a horizontal relationship—and perhaps even a slight subordination—of these companies to the state itself.

Musk May Have Overplayed His Hand in Europe

Elon Musk.
Elon Musk—founder and CEO of SpaceX, CEO of Tesla, owner of X (formerly Twitter), and co-founder of Neuralink and OpenAI—speaks at VIVA Technology (VivaTech), June 16, 2023. Photo: Frédéric Legrand / Dreamstime.

Much contemporary scholarship frames democratic backsliding as a crisis driven by populist leaders and illiberal parties. Your analysis suggests that technological infrastructures and billionaire networks may be equally central. Should we rethink democratic erosion less as a purely political phenomenon and more as a reconfiguration of political economy?

Professor Quinn Slobodian: The relationship between Silicon Valley and the far right in Europe is a particularly fascinating one. It also provides another revealing example of the delicate balance between Silicon Valley and existing political parties over the question of who actually governs. In late 2024, when Musk was investing his money and political capital in Trump’s election campaign, he seemed to believe that he could replicate that success almost universally. For a moment, at least, he appeared to think he had acquired a kind of political superpower—the ability to make virtually anyone electorally viable in any political environment. For several months, he attempted to use this supposed superpower to transform even relatively fringe candidates across Europe into credible political figures.

What we have seen since then, however, is that it does not work like a superpower at all. In many cases, it is actually counterproductive. A number of these right-wing parties have built their legitimacy around the language of sovereignty, and they are often damaged when they become too closely associated with an American tech billionaire. Interestingly, some of the transnational support figures like Musk have extended to right-wing populist parties in Europe has actually undermined rather than strengthened their credibility.

The positive side of this development is that it shifts public debate away from purely symbolic issues—or highly distorted narratives about immigration and demographics—and toward questions of political economy, exactly as you suggest.

Europe’s dependence on American-produced technologies is becoming increasingly difficult to ignore. This creates a genuine opening for center-left and centrist parties in Europe. If they can demonstrate that they are capable of securing genuine digital sovereignty and data sovereignty vis-à-vis Silicon Valley, that could significantly strengthen their credibility among voters as forces capable of delivering national autonomy, strategic capacity, and political strength. In that sense, the past year has revealed that the Silicon Valley leadership class may, in some respects, have overplayed its hand and unintentionally produced a kind of boomerang effect. As people become more aware of the disruptive consequences of new technologies and of the dependencies created by a small number of tech firms, they are beginning to ask whether alternative arrangements might be possible. Increasingly, it appears that creating substitutes or alternatives to things like Starlink, SpaceX, or X.com is ultimately a matter of political will. None of these systems are inevitable.

We are already beginning to see this shift. France has started moving away from Microsoft products, Denmark is pursuing similar policies, and there is growing interest in Eutelsat as a European low-Earth-orbit alternative to Musk’s satellite infrastructure. These are genuinely praiseworthy developments. They may also provide a more material foundation for thinking about European identity and strategic autonomy in ways that could ultimately weaken some of the messaging power of right-wing populist parties.

Optimization Replaces Individual Freedom in Muskism

To what extent is Muskism compatible with liberalism at all? Is it best understood as an illiberal variant of neoliberalism, or does it represent a more radical break with liberal constitutional traditions altogether?

Professor Quinn Slobodian: Muskism has very little to do with the liberal tradition. In fact, it represents a much more radical break with the broader trajectory of Western political thought stretching from John Locke to the present. Because it is fundamentally a technologically determinist philosophy. It takes the functioning of network technologies—especially computers—as a kind of model for how society itself should be organized and managed. In doing so, central liberal categories such as the dignity of the individual, or the value of human agency and individuality, cease to function as foundational principles. They are displaced by concerns with optimization and efficiency.

In some respects, the closest intellectual tradition it resembles is utilitarianism, insofar as it evaluates social interventions primarily according to outcomes, regardless of their effects on individual freedoms or other normative principles. But because this worldview is fundamentally mediated through the logic of the computer, it also dehumanizes politics. Belief systems become reducible to systems of replicable memes—or, as Musk himself calls them, “mind viruses.” This framework assumes that people do not possess genuine convictions or socially rooted beliefs but instead function as programmable and reprogrammable units of information. Those informational units can either be modified arbitrarily by someone with sufficient coding power or removed from the system altogether, as we saw in Musk’s projects at Twitter and DOGE.

So, in that sense, I do think Muskism represents a radical departure from the liberal tradition. And that is precisely what makes it—while still very much a system that produces inequality and concentrates private power—operate according to fundamentally different premises from the neoliberalism of the last several decades to which we have otherwise become accustomed.

The Far Right Is the Bastard Offspring of Neoliberalism

In your recent writings, you argue that many contemporary far right-populist formations are not anti-neoliberal but “the bastard offspring of neoliberalism itself.” How does this insight complicate dominant narratives that treat populism simply as a backlash against globalization?

Professor Quinn Slobodian: This line of inquiry emerged for me during the period from roughly 2008 to 2018, when the rise of right-wing backlash parties—especially the Alternative for Germany (AfD), but also the Tea Party in the United States and eventually the MAGA movement—was frequently described as a rejection of neoliberalism. What fascinated me was that many of the people deeply involved in these movements actually came out of the libertarian tradition and, in some cases, directly from the think tanks most closely associated with neoliberal policy formation—the Heritage Foundation in the United States, the Institute of Economic Affairs in Britain, and similar institutions.

What I discovered was the rather surprising fact that, after the end of the Cold War, many neoliberals did not believe they had definitively won. Instead, they identified new enemies and new forms of opposition, particularly environmentalism, feminism, and anti-racism. As a result, they began forming alliances with people for whom those issues were primary concerns. Suddenly, individuals primarily committed to economic freedom found themselves working closely with people primarily motivated by racial purity or national chauvinism.

In the United States, this coalition became known as the Paleo Alliance. These were actors who rejected the post-Cold War consensus around democracy promotion and strongly opposed the compromises that had emerged between civil rights movements and the American legal order—affirmative action, workplace harassment laws, and similar reforms. Many neoliberals came to view these developments as a new “road to serfdom,” and therefore believed they needed to push back and seek allies wherever they could find them.

The AfD is, in many ways, a particularly clear example of this dynamic because it effectively united neoliberal economists with Islamophobic right-wing German nationalists. They were bound together by a shared hostility toward the European Union—both because they believed it undermined German monetary sovereignty and because they felt it weakened sovereign control over borders. 

What emerged, then, were these unusual alliances between actors motivated primarily by economic concerns and others driven by cultural or even racial anxieties. If you examine many of the parties associated with Europe’s right-wing backlash, you find that a significant number emerged from precisely this fusion moment of the 1990s and early 2000s.

The same pattern was visible in the United States. If you look at Trump’s economic advisers during his first term, figures such as Arthur Laffer stand out. Laffer had literally advised Reagan on tax cuts in the early 1980s and then returned decades later to help design Trump’s tax cuts.

So, the mainstream narrative—which often portrayed a sharp rupture between an earlier era of market-friendly globalism and a new era of nationalist anti-neoliberalism—missed something important. The political actors themselves often remained the same. What changed was not their entire political worldview, but rather their preferred mode of organizing capitalism.