In this commentary, author Zeynep Temel examines how passport hierarchies and unequal mobility shape not only who can travel, but also who gains the authority to represent the world through digital tourism. Drawing on research on visa regimes, mobility infrastructure, the tourist gaze, and platform-mediated representation, she argues that passport privilege can become representational privilege. Travel influencers do not simply document destinations; they participate in constructing their meanings for global audiences. Yet access to this representational power is structured by nationality, class, wealth, and mobility rights. Temel further shows how such inequalities can feed broader grievances around globalization, exclusion, sovereignty, and dignity, creating discursive conditions in which populist narratives may resonate without claiming that mobility inequality itself directly causes populism.
By Zeynep Temel*
A striking map of the world has circulated repeatedly on social media. Produced by Sightsmap from geotagged photographs uploaded to Google’s former Panoramio service, it visualizes photographic activity as points of light. Europe glows. North America is heavily illuminated. Other parts of the world appear far more sparsely represented. In the ranking associated with the map, New York, Rome, and Barcelona occupied the first three positions among the world’s most photographed cities (Marcus, 2014; Swanson, 2015).
Author-generated visualization inspired by the historical geography represented in Sightsmap. Sightsmap combined crowdsourced digital traces, principally geotagged photographic metadata from Google’s former Panoramio service, with other sources to estimate the popularity of places of tourist interest. The visualization should be understood as an illustrative reconstruction of the unequal geography of visibility represented by this historical digital ecosystem, rather than as a reproduction of the original Sightsmap or a comprehensive measure of global photographic activity (Tammet et al., 2013).
The map is not a contemporary measure of Instagram or TikTok activity. Panoramio itself was discontinued, and the visualization reflects a particular platform, user population, and period of digital photography. It should therefore not be mistaken for a neutral map of where photographs are taken today. Yet this limitation arguably makes the image more interesting rather than less. As an early visualization of digital tourism, Sightsmap raises a question that has become considerably more important in the age of travel influencers: who gets to see the world; and, consequently, who gets to construct its image for everyone else?
Contemporary travel content often makes international mobility appear almost frictionless. Creators move from Bangkok to Paris, spend a weekend in Istanbul, “discover” villages in the Caucasus, or work remotely from Bali. Borders are rarely protagonists in these narratives. Travel appears primarily as a function of curiosity, money, and individual choice. But a British, German, or Japanese travel creator and an Afghan, Pakistani, Nigerian, or Syrian creator do not encounter the same world of borders. They may look at the same map, but the map does not offer them the same possibilities.
This matters beyond tourism. If travel influencers increasingly participate in constructing how destinations are imagined by audiences who may never visit them, unequal access to international mobility also produces unequal opportunities to participate in the production of the global tourist imaginary. Passport privilege can, in other words, become representational privilege.
The Unequal Geography of Global Mobility
The passport is one of the most consequential yet normalized mechanisms through which states distribute international mobility. Research on visa regimes shows that globalization has not produced a uniformly borderless world. Instead, borders have become more permeable for particular populations. Czaika, de Haas, and Villares-Varela (2018) demonstrate the persistent differentiation built into international visa regimes, while Mau and colleagues (2015) describe the resulting hierarchy as a “global mobility divide.”
For holders of powerful passports, this divide can remain almost invisible. International travel may require little advance planning beyond purchasing transportation and accommodation. For others, the same journey can involve consular appointments, proof of employment and income, bank statements, travel insurance, accommodation reservations, substantial fees, and uncertainty over whether permission will ultimately be granted.
The costs of this system are themselves unequally distributed. Recchi, Deutschmann, and Gabrielli (2020) show that visa costs impose disproportionate burdens on travelers from poorer countries. Neumayer (2006) similarly demonstrates how visa restrictions allow states to regulate access to foreign spaces selectively rather than simply opening or closing borders to everyone equally.
Spijkerboer’s (2018) concept of a global “mobility infrastructure” is particularly useful here. International movement depends upon a network of laws, airports, consulates, transportation systems, technologies, financial resources, and administrative categories. This infrastructure enables some people to move quickly and predictably while making movement considerably more difficult for others.
A powerful passport therefore represents more than convenience. It is a form of mobility capital. And in the age of social media, mobility capital can become cultural capital.
Who Constructs the Tourist Gaze?
Urry’s (1990) classic concept of the “tourist gaze” challenged the idea that tourists simply encounter destinations as they are. What travelers consider beautiful, authentic, exotic, romantic, or worth photographing is shaped by representations they have encountered before travelling. The Sightsmap visualization offers an unusually literal illustration of this process. It does not simply tell us where tourists went; it records where a particular population of digitally connected travelers chose to photograph and geotag their surroundings. Research using geolocated tourism data has since demonstrated both the usefulness and the limitations of such digital traces: different platforms capture different tourist practices and populations, meaning that no single dataset can straightforwardly represent tourism itself (Salas-Olmedo et al., 2018).
Social media has nevertheless dramatically accelerated the circulation of the tourist gaze. Before visiting Cappadocia, travelers encounter thousands of images of hot-air balloons at sunrise. Bali appears through temples, beaches, rice terraces, and infinity pools. Paris is repeatedly condensed into a recognizable repertoire of balconies, cafés, streets, and monuments. Travelers subsequently reproduce many of those images themselves.
Instagram therefore does not simply document tourism. Research suggests that it participates in the co-creation of destination image: tourists, residents, tourism organizations, and influencers continuously produce and reproduce visual understandings of places (Iglesias-Sánchez et al., 2020). Influencers occupy an especially interesting position within this process. Their authority depends partly on the appearance of personal experience. Unlike conventional tourism advertising, influencer content often presents itself as an individual encounter with a destination: this is what I saw; this is what I discovered; this is what you should experience.
Yet these narratives necessarily involve selection. Landscapes are chosen, neighborhoods included or excluded, encounters edited, and experiences organized into coherent stories. Research examining influencer representations of destinations such as Iran demonstrates how social-media creators can reshape destination images by foregrounding particular dimensions of everyday life, hospitality, culture, and perceived authenticity. (Saeidi Motahar et al., 2021)
A constructivist perspective makes the significance of this process clearer. Destinations do not possess internationally shared meanings independently of representation. Their identities as “dangerous,” “romantic,” “authentic,” “undiscovered,” or “adventurous” are socially produced and stabilized through repeated narratives and images. Travel influencers increasingly participate in this meaning-making. The important question, then, is not simply what they show. It is who gets to travel enough to become an authoritative narrator of the world in the first place.
When Passport Privilege Becomes Representational Privilege
The connection does not require an assumption that Instagram or TikTok deliberately privileges particular nationalities. The mechanism is more mundane. Consider the conditions necessary to build a career around international travel. A creator able to enter dozens of countries without obtaining visas in advance can respond quickly to cheap flights, tourism-board invitations, brand collaborations, and emerging destinations. Travel can be frequent and spontaneous. Content can consequently be produced at the regular pace demanded by platform economies.
A creator requiring visas for many of those destinations faces a different production environment. Trips may need to be planned months ahead. Applications cost money. Passports may remain at consulates during processing. Bookings can be required before a visa decision is known. An application may simply be rejected. Mobility advantage can therefore become a content-production advantage.
Successful content generates followers and commercial opportunities; those opportunities finance further travel; further travel produces additional content. Passport privilege does not determine who succeeds as an influencer, and creators from the Global South are neither absent nor passive within digital tourism. Wealth, class, language, domestic mobility, and platform access further complicate any simple North–South division.
But nationality still structures the administrative conditions under which cross-border content can be produced. This is also why Said’s (1978) much older question of representational authority remains relevant. Orientalism was concerned not merely with whether Western descriptions of other societies were accurate, but with the unequal power to classify, describe, and produce knowledge about them.
Digital tourism is obviously not equivalent to nineteenth-century Orientalism, and every outsider representation of another society should not be interpreted as domination. Yet the underlying questions remain surprisingly contemporary: Who moves? Who observes? Who narrates? And who appears primarily inside somebody else’s narrative?
From Unequal Mobility to Political Grievance
The political significance of this inequality lies partly in its visibility. Social media places radically different experiences of globalization on the same screen. One person documents spontaneous weekend trips across borders; another spends months assembling documents for permission to visit a single country. Research on passport discrimination suggests that mobility restrictions can be experienced not merely as administrative inconvenience but through questions of dignity, recognition, and unequal treatment. (Yasin et al., 2024)
It would be too strong to argue that these experiences produce populism. Visa rejection does not turn someone into a populist, and travel influencers do not cause nationalist politics. The relationship is more indirect. Populist narratives frequently acquire force by translating complicated structural inequalities into morally intelligible conflicts: ordinary people against privileged elites, the nation against external institutions, or those who are excluded against those perceived to benefit from globalization.
Mobility inequality provides unusually tangible material for such grievances because it exposes one of globalization’s central contradictions. The contemporary international order celebrates openness, connectivity, and circulation while continuing to distribute the practical freedom to move largely according to nationality.
Digital platforms make this contradiction particularly visible. Research on social-media populism has shown how online communication can transform perceived exclusion, foreign influence, and national grievance into politically resonant narratives (Ragragio, 2022). Mobility inequality can enter the same discursive environment, particularly where unequal treatment becomes interpreted through wider debates over Western privilege, sovereignty, globalization, or national dignity. Travel influencers do not create this inequality. They can, however, inadvertently become some of its most visible symbols.
The Politics Behind the Picture
This brings us back to the illuminated Sightsmap. Its brightest areas should not be read simply as a hierarchy of beautiful or interesting places. Nor can they straightforwardly be interpreted as a map of passport privilege: population, tourism infrastructure, platform adoption, wealth, connectivity, and the particular demographics of Panoramio users all shaped what became visible. But that is precisely the point. Maps of digital visibility are produced by social conditions. They do not simply mirror the world.
The same is true of contemporary travel influencing. Calls for greater diversity among travel creators are worthwhile, but representation cannot be separated from the conditions under which representation is produced. If some creators face substantially greater obstacles simply to reach destinations, the imbalance cannot be solved entirely through more inclusive influencer campaigns or changes in platform policy.
Part of the inequality exists before anyone opens Instagram. It exists in visa regimes, consular practices, passport hierarchies, income inequalities, transportation networks, and the broader infrastructure governing international movement.
A constructivist reading of travel influencing brings these elements together. Influencers do not merely reflect an already existing tourist world. Through repeated images, narratives, classifications, and recommendations, they participate in constructing that world; helping determine which destinations become desirable, which places appear dangerous or welcoming, and what counts as an “authentic” experience. But the opportunity to participate in this construction is itself structured by unequal mobility.
The digital tourist gaze therefore tells us something larger about globalization. The freedom to see the world and the power to represent it are not entirely separate privileges. Those who can cross borders most easily are particularly well positioned to narrate what lies on the other side. The question raised by that old map of illuminated photographs is therefore still worth asking: when the world becomes an image, who gets to take the picture?
(*) Zeynep Temel is a PhD candidate in International Political Economy at Marmara University, Istanbul, and is currently based in Shanghai conducting research for her doctoral dissertation. Her research interests span inequality, platform capitalism, popular culture, and gender, with a regional focus on East Asia. She works on how economic and political structures shape everyday practices, identities, and moral expectations, particularly through attention, consumption, and labor under contemporary capitalism.
References
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Iglesias-Sánchez, P. P.; Correia, M. B.; Jambrino-Maldonado, C. & de las Heras-Pedrosa, C. (2020). “Instagram as a co-creation space for tourist destination image-building: Algarve and Costa del Sol case studies.” Sustainability, 12(7), 2793. https://doi.org/10.3390/su12072793
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In this commentary, Filippo Palmieri examines how digital platforms are reshaping the political socialization of young Europeans. As mass parties decline, politics is increasingly encountered through personalized feeds, influencers, recommendation systems, and fragmented online publics. Palmieri argues that this transformation does not make populism inevitable, but it creates an environment in which populist appeals to immediacy, personalization, and distrust of intermediaries can travel more easily. Drawing on the concepts of “mass individualism” and “bubble democracy,” the commentary explores how digital participation can broaden political engagement while weakening durable forms of representation and accountability. The central democratic challenge, Palmieri suggests, lies in the growing gap between political expression, collective organization, and meaningful representation.
A political message on TikTok rarely arrives alone. It appears between a song, a comic sketch and a creator’s account of an ordinary day. On Instagram, a carousel explaining an election may be followed by an advertisement or a friend’s holiday photograph. For many young Europeans, this is no longer a secondary route into politics. It is where politics is first encountered.
The European Parliament’s Youth Survey 2024 gives a measure of the change. Among Europeans aged 16 to 30, 42 percent name social media as a main source of information on political and social issues. Television follows at 39 per cent (European Parliament, 2025). These figures do not prove that young people have lost interest in public affairs. They tell us something more precise: a generation is forming its political habits inside spaces built around personal profiles, recommendation systems and an endless competition for attention.
The consequences reach beyond communication. Politics learned through a feed has a different pace, different intermediaries and a different sense of proximity. This helps explain why populist language often moves easily across digital platforms. It does not mean that social media manufacture populists. The relationship is less direct, and more interesting, than that.
What the Party Used to Provide
The decline of mass parties is often measured through membership figures or electoral volatility. Those indicators matter, but they capture only part of what has disappeared. A party once offered a place where separate experiences could be translated into common claims. It trained activists, selected leaders and connected local disputes to an interpretation of society. The process was slow. It was also unequal: hierarchies were rigid, internal dissent could be suppressed, and many citizens remained outside the organizations that claimed to represent them. Yet the intermediary was visible. It had offices, rules, officials and a name.
Mauro Calise describes the new configuration as “mass individualism.” The collective actor once organized by party machines has broken into a multitude of connected individuals (Calise, 2025). The phrase is deliberately paradoxical. Users act through personal accounts, but they do so before mass audiences. They can speak and mobilize at a scale that would once have required an organization, while the content reaching each of them is increasingly personalized.
This distinction matters most for those who did not acquire political habits before the digital turn. A twenty-year-old may discover a housing protest through a short video, learn its vocabulary from a creator, share it with friends and join a demonstration organized in a group chat. Information, expression and participation take place on the same device, sometimes within a few hours. As Ohme and his colleagues observe, digital environments have brought exposure to news and political action unusually close together (Ohme et al., 2022).
That can produce real participation. Climate strikes, campaigns against gender violence and mobilizations over university costs have travelled through networks that traditional parties struggled to reach. But the same mobilization may dissolve when attention moves to another issue. A hashtag can assemble a public without building an organization able to negotiate, decide or remain accountable after the peak of visibility has passed.
There is no single European “digital generation” either. A study covering nine countries found marked class differences among young people’s conventional, community-based and online participation (Grasso & Giugni, 2022). Education, resources and political confidence still shape whose voice becomes public. Cheap access to a platform does not make political influence equally available.
Disintermediation Without the Disappearance of Intermediaries
Social media are regularly described as instruments of disintermediation. The term suggests that parties, journalists and associations have been removed from the relationship between citizens and power. Only half of that story is true. Older gatekeepers have weakened; mediation itself has not vanished. It has changed hands.
TikTok’s recommendation system decides which political clip travels beyond its original audience. Instagram gives visual advantage to claims that can be compressed into a reel or a sequence of cards. Influencers translate public controversies into the language of personal experience, while visible counts of likes and shares make some positions appear socially dominant before a user has examined them. None of these mechanisms is politically neutral, even though none resembles a party headquarters or a newspaper editorial meeting.
Damiano Palano’s notion of “bubble democracy” offers a useful description of the result. Palano argues that the public associated with earlier forms of representative democracy is fragmenting into multiple, partly self-referential audiences (Palano, 2019). A bubble is not a sealed room. Users still meet disagreement, and content moves unpredictably between networks. The deeper change concerns the distribution of attention. A controversy that feels unavoidable on one feed may be almost absent from another. Citizens do not simply reach different conclusions; they may begin from different political events.
This is why the familiar image of the echo chamber is insufficient. The problem is not only that people prefer information consistent with their beliefs. Platform publics are temporary and uneven. They gather around an election, a scandal or a war, then rearrange themselves. Public opinion begins to resemble the intermittent convergence of several streams rather than a single national conversation.
Representative politics has always involved distance. Nadia Urbinati argues that representation does not require citizens and representatives to become identical. It depends on a continuing relationship in which decisions can be judged, contested and revised (Urbinati, 2010). Social media create the impression that this distance has closed. A leader speaks from a phone, replies to followers and comments on events before the evening news. The tone is intimate. Power may remain highly concentrated.
Why Populist Narratives Travel Well
Populism fits this environment because it turns representation into a promise of direct presence. A leader speaks as the authentic voice of “the people”; whoever stands between the two can be presented as an obstacle. Parties distort. Experts complicate. Journalists hide. Procedures delay. These accusations long predate TikTok and Instagram, but platforms allow them to be repeated daily, adapted to audience reactions and attached to an individual face.
Personalization is part of the advantage. A recognizable leader circulates more easily than an organization with competing factions and a detailed programme. Speed matters too. Every event can be framed as an urgent test of whether institutions are listening. Conflict completes the pattern: the distinction between an authentic community and those allegedly frustrating its will is well suited to systems that reward reaction.
Still, there is no universal digital law favoring populists. Davidson and Enos examined more than 400 European parties between 2010 and 2020. Populist parties received more engagement than their competitors on Facebook, but the same advantage did not appear consistently on Twitter. It also varied between countries and was concentrated especially among right-wing populists (Davidson & Enos, 2025). Platform architecture matters. So do political culture, party strategy and national context.
Research from the Netherlands adds another complication. People with populist attitudes were more likely to react to political content, yet their use of social media did not consistently trap them in a populist electoral funnel (Jeroense et al., 2022). A feed is not a machine with a predetermined political output. It changes the incentives under which politics is communicated: some claims become easier to circulate, some actors become more visible, and directness acquires a persuasive value of its own.
For young citizens, this is also a question of familiarity. If politics is first experienced through personal profiles and short cycles of attention, the leader’s direct appeal may not look like a rebellion against ordinary democratic practice. It may look like ordinary democratic practice. Bargaining, party organization and institutional compromise then appear distant and evasive, even though they remain necessary whenever a demand must be converted into a collective decision.
A Different Experience of Democracy
It would be misleading to tell this story as a fall from a democratic golden age. Mass parties often demanded obedience and filtered out inconvenient voices. Digital media have allowed experiences once ignored by established organizations to enter public debate. They have made rapid mobilization across cities and borders possible. Young Europeans have used them to force climate change, racial justice, gender equality and economic insecurity onto political agendas.
What has become fragile is the link between expression and representation. A post shared hundreds of thousands of times shows intensity, not necessarily durability or representativeness. A creator can become an influential political interpreter without accepting the obligations normally attached to political leadership. A digital campaign may be remarkably effective at naming a problem and much less able to determine who can legitimately negotiate in its name.
Young Europeans have not abandoned politics. They are learning it in a public sphere whose boundaries move from one issue to the next and whose most powerful intermediaries seldom present themselves as political institutions. This does not make populism inevitable. It makes the populist promise of immediacy easier to recognize and the suspicion of mediation easier to understand.
The relevant question, then, is not whether young people are democratic enough. It is what democracy comes to mean when it is first encountered as a stream of personalized messages rather than as membership in a collective organization. The passage from mass parties to digital bubbles is therefore more than a shift in political communication. It is a change in the everyday experience through which representative politics becomes intelligible.
(*) Filippo Palmieri holds a master’s degree in International and Diplomatic Sciences, specializing in Politics and International Security, from the University of Bologna. His research focuses on democratic theory, populism, political representation, the transformation of political parties and the effects of digital communication on contemporary democracy. His master’s thesis examined the changing analytical value of the concept of populism in twenty-first-century democracies. He has presented research on democracy, populism and illiberalism at academic events hosted by the Università Cattolica del Sacro Cuore, the Italian Political Science Association and Venice International University. Email: filippo.palmieri3@studio.unibo.it
Davidson, T. R. & Enos, J. (2025). “Engaging populism? The popularity of European populist political parties on Facebook and Twitter, 2010–2020.” Political Communication, 42(1), 171–199. https://doi.org/10.1080/10584609.2024.2369118
Grasso, M. & Giugni, M. (2022). “Intra-generational inequalities in young people’s political participation in Europe: The impact of social class on youth political engagement.” Politics, 42(1), 13–38. https://doi.org/10.1177/02633957211031742
Jeroense, T.; Luimers, J.; Jacobs, K. & Spierings, N. (2022). “Political social media use and its linkage to populist and postmaterialist attitudes and vote intention in the Netherlands.” European Political Science, 21(2), 193–215. https://doi.org/10.1057/s41304-020-00306-6
Ohme, J.; Andersen, K.; Albæk, E. & de Vreese, C. H. (2022). “Anything goes? Youth, news, and democratic engagement in the roaring 2020s.” The International Journal of Press/Politics, 27(3), 557–568. https://doi.org/10.1177/19401612221093008
Palano, D. (2019). La democrazia alla fine del “pubblico”: Sfiducia, frammentazione, polarizzazione: verso una “bubble democracy”? Governare la paura, 35–92.
In this Voice of Youth (VoY) piece, Emaan Zahra examines the intertwined environmental and developmental costs of the rapid expansion of generative artificial intelligence. She argues that AI’s seemingly immaterial convenience rests on resource-intensive infrastructures whose growing demands for freshwater and electricity can intensify environmental pressures, contribute to greenhouse gas emissions, and affect communities surrounding data centers. At the same time, Zahra draws attention to the implications of habitual AI use for children, particularly when technological assistance substitutes for independent learning, critical thinking, creativity, and problem-solving. Connecting these concerns, she presents AI proliferation as a dual challenge for climate sustainability and the intellectual development of younger generations. Zahra calls for greater responsibility from parents, educators, technology companies, and policymakers to establish boundaries that enable technological progress while protecting environmental resources and children’s capacity for independent thought.
By Emaan Zahra
Today, the use of generative artificial intelligence (AI) is growing very fast. This growth creates many serious problems all over the world. To fix these problems, we must look at how AI works behind our screens. AI has quickly become a normal part of daily life for most people. This has created a habit of overusing technology. This constant use hurts the environment and changes how children grow up. While we enjoy the speed of AI, we ignore its real-world costs. In the end, the convenience of AI harms our planet and weakens the thinking skills of the next generation.
The Hidden Environmental Cost of AI
The computers that power AI search engines and chatbots require a massive physical setup. A decade ago, technology companies used simple liquid cooling systems to keep their computers from overheating. These older systems did not require too many resources. However, as millions of people started using AI, computers had to work much harder and faster. To stop their systems from crashing, big tech companies like Microsoft, Google, and Meta now use huge amounts of electricity and freshwater. These companies need perfectly clean water, so their expensive computers do not rust or break. Because AI is so popular today, the demand for these natural resources has skyrocketed.
How AI Drains Local Water Supplies
The huge amount of water used by AI data centers directly hurts local communities. These centers take water from nearby lakes, rivers, and underground supplies. This is the exact same water that families, neighborhoods, and schools rely on every day. Research shows that asking an AI chatbot just 20 to 50 simple questions can use up to one full liter of water. Over time, this adds up to a massive amount. AI cooling systems waste enough water to fill nine Olympic-sized swimming pools every single day. Even worse, 80% of this water turns into vapor and is completely lost to the air. This causes a real water crisis for the people living near these computer centers.
Energy Pollution and Climate Change
Along with wasting water, AI centers need an incredible amount of electricity to stay turned on. Experts estimate that by the year 2030, AI energy needs will increase by 400%. This is the same amount of electricity that the entire United Kingdom uses in a whole year. For example, Google reported that its push into AI caused its total greenhouse gas emissions to rise by 48% compared to 2019. Because most electricity still comes from burning coal, oil, and gas, power plants have released over 30 billion tons of pollution recently. This pollution traps heat, raises global temperatures, and causes worse hurricanes, floods, and climate change.
The Problems with Proposed AI Fixes
Scientists and tech companies have tried to think of ways to fix these problems, but most ideas are not practical yet. One popular idea is to build data centers underwater so the cold ocean can cool the computers naturally. However, salt water is highly corrosive. It can easily leak into the pods and destroy the delicate technology. Another idea is to launch AI data centers into outer space as satellites. While this would save Earth’s water, it is way too expensive and dangerous right now. Space debris and rocket pollution make this a very distant dream. Because these fixes do not work yet, our local environments continue to suffer.
How Environmental Damage Hurts Children’s Health
This damage to nature directly harms the health and safety of young children. To understand this problem, we have to look at a child’s everyday surroundings. The air pollution from burning fossil fuels for AI electricity has caused a rise in lung illnesses among children. Young bodies are still growing, and their lungs are small. This makes them highly vulnerable to bad asthma and permanent lung damage. In addition, climate change ruins crops and alters weather patterns, which causes food shortages and high grocery prices. The invisible power grids that run our apps are creating a physical health crisis for children.
How AI Weakens a Child’s Thinking Skills
At the same time, easy access to AI tools threatens the mental growth and independent thinking of children. When young students let machines do their schoolwork, their brains do not get the exercise they need to grow. Instead of figuring out hard problems, students use AI chatbots to write essays, read stories, and solve math homework. This habit weakens the brain just like a lack of exercise weakens a muscle. If you stop walking, your leg muscles will waste away. In the exact same way, the human brain gets weaker if it is shielded from challenges. Children who rely completely on AI may never learn how to analyze information deeply.
The Loss of Creativity and Memory
The long-term danger of relying on AI is that children lose the ability to spot lies, think of new ideas, and solve problems creatively. Learning these skills takes years of practice and making mistakes without help. Because AI gives perfect answers in a split second, children learn to accept whatever the computer tells them. They do not double-check facts or think critically. Because of this, their knowledge stays very shallow. They do not truly understand what they are learning. This instant gratification loop also shortens attention spans and makes it hard for children to remember things. Instead of learning to think for themselves, kids are trading their brainpower for fast answers.
A Path Forward
The rapid rise of AI creates a double crisis for our environment and our children’s minds. The hidden computer systems behind AI drain vital water supplies and cause heavy air pollution, hurting local families. At the same time, using chatbots as an academic shortcut stops children’s brains from developing properly. To fix this, parents, teachers, and tech companies must work together. We need to set strict limits on how much power AI uses and how children use it in school. Only by setting these boundaries can we protect our planet and keep the next generation smart and independent.
Emaan Zahra is a 16-year-old aspiring student who believes that that the over and unnecessary consumption of AI is very harmful for our minds and climate. She would like to note that she believes that AI should prosper in medical and industrial fields but in ones day to day tasks it should be used as little as possible or not at all. Email: emaanzahra212@gmail.com
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.
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 failure. Brazil 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 2026, The 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.
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
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 callreverse 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.
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.
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.
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.
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 Pen, Alternative 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.
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.
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 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 Democracyarticle, “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 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 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—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
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.
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.
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
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.
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.
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.
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.
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 democracyacquires 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.