AI anger is not a debate: a million YouTube comments reveal a displaced political conflict

Artificial intelligence is constantly described as one of the most controversial technologies of our time, yet a new study argues that the public conflict surrounding it looks nothing like the classic scientific controversies that scholars have spent decades learning to map. In an open forum article published in AI & Society, Alberto Romele and Clément Bert-Erboul of Sorbonne Nouvelle University and Julien Mésangeau of the University of Lille analyze more than 1.1 million YouTube comments and conclude that the fight over AI has not disappeared. It has changed shape, migrating away from the technical object itself and into the political imaginaries that surround it.

The researchers started from a puzzle. In science and technology studies, a controversy is not merely public disagreement. It is a sustained, traceable dispute in which experts challenge one another, lay participants develop genuine expertise, and stable groups of concerned citizens form around a specific issue. Think of debates over nuclear waste siting or vaccine safety, where affected publics acquire technical vocabulary, contest official evidence, and organize into durable issue publics. AI, despite endless declarations of its controversial nature, shows remarkably few of these features. A search of the scholarly literature confirmed the authors’ suspicion: when researchers use the word controversy in connection with AI, they overwhelmingly mean generic public disagreement or scandal, not the analytical apparatus of controversy mapping.

Romele and his colleagues argue that this diagnosis of absence mistakes the form of the conflict for its existence. The conflict over AI is real, but it has been displaced along two axes. Horizontally, it has moved from the inaccessible technical object, whose inner workings few citizens can meaningfully contest, onto the imaginaries surrounding it: visions of job destruction, surveillance, and institutional capture. Vertically, it has shifted from a controversy among citizens and experts into an antagonism that opposes a unified people to an institutional order that AI is taken to embody. To read this displaced conflict, the authors contend, the standard tools of controversy analysis must be supplemented with political theory.

The theoretical move draws on the theory of hegemony developed by Ernesto Laclau and Chantal Mouffe. Where controversy analysis assumes that legitimate participation requires expertise and that the reality of conflict resides in technical objects, hegemony theory treats symbolic formations as genuine sites of political struggle. In this framework, AI functions as what Laclau called an empty signifier: a condensed symbol onto which heterogeneous grievances, from unemployment to the cost of living to distrust of media and elites, can be articulated. The resulting structure is populist in a precise, non-pejorative sense, constructing a people against an adversary understood as the institutional establishment.

The empirical backbone of the study is a dataset of 1,148,092 comments posted on 4,244 videos from TF1.info, the YouTube channel of France’s largest private television broadcaster. The team compared the publics that gather around AI videos with those forming around three other contested technoscientific domains: electric vehicles, nuclear technologies, and climate change. They then mapped the intersections between these issue publics and the publics of French political parties, asking whether engagement with AI tracks partisan affiliation the way engagement with climate or nuclear energy does.

The quantitative mapping delivered a striking negative result. Around electric vehicles, nuclear power, and climate change, the researchers could identify relatively coherent issue publics whose activity intersects in patterned ways with party-political communities. Around AI, no such structure emerged. Public formation was weak: commenters on AI videos did not cluster into stable, recognizable constituencies, and their overlap with partisan publics was comparatively thin. In the vocabulary of controversy studies, AI has not generated the issue publics that a genuine technoscientific controversy would produce. The technology is talked about everywhere, but it belongs to no one in particular.

The qualitative analysis explains what is happening instead. The researchers read in their entirety the comments on 23 AI-related videos, attending to three dimensions: whether a comment used a technical register, where its critique was aimed, and whether AI was linked to grievances external to the technology. A comment was treated as expressing vertical antagonism only when it combined the last two features, directing critique upward at institutions, elites, or media while folding AI into a broader chain of grievances. Ordinary negativity about the technology’s performance, humor without an institutional target, and disagreement among commenters were explicitly not counted as antagonism.

What emerged from this close reading was a consistent pattern. Commenters rarely engaged with AI at a technical level. There was little specialized vocabulary, few references to documentation, and almost no design-level argument of the kind the authors found in the electric vehicle comments, where users debated battery energy density, thermal constraints, and the carbon debt of manufacturing with genuine specificity. Instead, AI comments aimed their fire at institutional actors and articulated the technology as one element in a wider story of dispossession: jobs lost, purchasing power eroded, representation hollowed out, and a media class that talks down to ordinary people. AI condensed institutional power into a single, graspable target.

This finding reframes a debate that has preoccupied scholars and policymakers. A growing body of work has called for eliciting the AI controversies we need, seeking to provoke the lay expertise and issue publics that AI has so far failed to generate. Romele and his colleagues push back against this program. If the conflict over AI is not a missing controversy but a displaced antagonism, then the task is not to engineer the former but to recognize the latter. Treating populist anger about AI as a deficit of technical deliberation misreads the situation and risks deepening the very estrangement it hopes to cure.

The implications reach beyond France and beyond YouTube. As governments roll out national AI strategies and corporations flood the public sphere with sociotechnical imaginaries of transformation, the symbolic battlefield may matter more than the technical one. A democratic politics of AI, the authors suggest, begins by acknowledging that when people argue about artificial intelligence, they are often arguing about something else: who holds power, who benefits, and who gets to decide. Recognizing that conflict, rather than trying to redirect it into expert debate, is the precondition for giving it democratically sustainable form.

Subject of Research: Displaced political antagonism and populist conflict in public discourse on artificial intelligence

Article Title: Artificial intelligence as political antagonism: media traces of a displaced conflict

Article References: Romele, A., Bert-Erboul, C., & Mésangeau, J. (2026). Artificial intelligence as political antagonism: media traces of a displaced conflict. AI & SOCIETY. https://doi.org/10.1007/s00146-026-03303-3

Image Credits: AI Generated

DOI: 10.1007/s00146-026-03303-3

Keywords: artificial intelligence, populism, hegemony, controversy analysis, science and technology studies, YouTube comments, public debate, sociotechnical imaginaries, Laclau and Mouffe, media analysis, issue publics, AI & Society