Guillaume Verdon argues that AI doomerism is often a deliberate weaponization of public anxiety. He believes certain actors use fear-mongering to justify seizing control over AI development, convincing the public they shouldn't have access to powerful models for their own good, thereby creating a dangerous cognitive gap.

Political movements often require a central catastrophic narrative to justify wide-ranging regulation. As climate change predictions lose their urgency, the fear of an AI apocalypse is emerging as the new rationale for controlling the economy and the information space.

The narrative of an AI-driven job apocalypse is not a data-driven forecast but a fear-based marketing strategy. Tech leaders and companies, or 'hyperscalers,' create this anxiety to divert capital flows towards them and justify massive capital expenditures, effectively monetizing public fear.

The political left requires a central catastrophe narrative to justify its agenda of economic regulation and information control. As the "climate doomerism" narrative loses potency, "AI doomerism" is emerging as its successor—a new, powerful rationale for centralizing power over the tech industry.

AI is experiencing a political backlash from day one, unlike social media's long "honeymoon" period. This is largely self-inflicted, as industry leaders like Sam Altman have used apocalyptic, "it might kill everyone" rhetoric as a marketing tool, creating widespread fear before the benefits are fully realized.

Because the general public poorly understands AI, the topic becomes a blank canvas for political manipulation. Politicians can create any perception they want—from job-stealing menace to national security threat—to shape opinion and move votes.

The viral spread of AI doomerism is largely because politicians from both parties have recently discovered that criticizing AI is an easy political win. This pre-existing anti-AI sentiment in the political arena created a highly receptive audience for the researchers' warnings, amplifying their message far beyond the tech community.

A major political crisis over AI and jobs doesn't require high national unemployment. All it takes is a rapid, concentrated wave of job losses in a single, visible industry or geographic area. This creates a potent media narrative that can trigger widespread panic and political action.

The AI industry is inadvertently creating its own political obstacles. Public comments from industry leaders about existential risk and job loss are stoking bipartisan fear. This negative sentiment is causing previously supportive politicians to turn against critical AI infrastructure projects like data centers due to shifting public opinion.