Assoc. Prof. Jason Anastasopoulos argues that AI is not merely a tool of efficiency, but a political force that may reconfigure both democratic governance and populist mobilization. In this ECPS interview, he warns that replacing bureaucrats with AI can erode “democratic legitimacy” and produce what he calls “automated majoritarianism,” where average cases are processed efficiently while minorities and outliers are disadvantaged. He also challenges the assumption that AI automatically strengthens authoritarian rule, showing instead how false positives, false negatives, and “threshold whiplash” can generate resistance within authoritarian systems. Most strikingly, he suggests that AI may transform populism itself: unlike earlier technological disruptions centered on manual labor, AI increasingly threatens “intellectual work and highly skilled labor,” potentially broadening the social base of anti-elite backlash and reshaping the future of political discontent.
Interview by Selcuk Gultasli
At a moment when artificial intelligence is increasingly presented as a transformative force in governance, public administration, and political control, Jason Anastasopoulos, Associate Professor of Public Administration and Policy at the University of Georgia, offers a far more cautious and analytically nuanced perspective. In this ECPS interview, he argues that the effects of AI cannot be understood through simplistic assumptions of either technological salvation or authoritarian omnipotence. Instead, AI emerges in his account as a politically embedded system whose consequences depend on data quality, institutional incentives, and the broader regime context in which it operates.
A central theme running through the interview is the challenge AI poses to conventional understandings of democratic legitimacy and representation. Anastasopoulos warns that “replacing bureaucrats with AI has the potential to erode democratic legitimacy and decrease the extent to which people not only perceive the legitimacy of the system but also actually receive fair outcomes.” This concern is rooted in his broader claim that algorithmic governance does not merely automate decisions; it subtly transforms the normative foundations of administration itself. Because AI systems rely on “data from the past and on statistical averages,” whereas human officials can apply individualized judgment, the shift toward automation risks creating what he calls “automated majoritarianism,” in which average cases are processed efficiently while minorities and outliers are systematically disadvantaged.
At the same time, Assoc. Prof. Anastasopoulos highlights the political implications of AI beyond democratic administration, particularly in relation to populism and authoritarianism. Against the widespread belief that AI necessarily strengthens authoritarian rule, he emphasizes the “autocrat’s calibration dilemma,” showing how false positives and false negatives generate what he terms “threshold whiplash.” Far from ensuring seamless control, AI can create backlash, misclassification, and resistance, even within highly monitored societies. In this respect, the interview complicates dystopian assumptions about authoritarian omniscience by showing how predictive technologies can also destabilize the very regimes that rely on them.
Most strikingly, however, Assoc. Prof. Anastasopoulos suggests that AI may reshape populist politics in new ways. Whereas earlier waves of technological disruption primarily displaced manual and industrial labor, contemporary AI increasingly threatens “intellectual work and highly skilled labor.” This shift, he argues, may transform the social basis of political discontent. Populist mobilization, long rooted in anti-elite appeals to economically dislocated working-class constituencies, may now expand to incorporate professional and knowledge-sector groups who find themselves newly exposed to technological precarity. In that sense, AI may transform populism not only by intensifying backlash against opaque governance, but also by mobilizing constituencies that have not historically stood at the center of populist revolt.
In sum, Assoc. Prof. Anastasopoulos’s reflections offer a sophisticated intervention into contemporary debates on AI and politics. His analysis underscores that AI is neither politically neutral nor institutionally self-executing. Rather, it is a force that can unsettle democratic legitimacy, complicate authoritarian control, and reconfigure the social terrain of populist mobilization. Far from being merely a tool of efficiency, AI may become a catalyst for profound political realignment.
