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The Trump and Brexit movements were driven by blue-collar workers. The coming political upheaval will be fueled by a different demographic: urban, degree-educated knowledge workers whose jobs are directly threatened by AI.

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As AI automates entry-level white-collar jobs, a growing number of college graduates will face unemployment. This creates what historian Peter Turchin calls 'elite overproduction'—people educated for elite roles with no positions to fill. This disenfranchised group is a prime demographic for socialist movements.

Unlike cyclical downturns where jobs eventually return, AI is permanently replacing cognitive roles. The selective targeting of the knowledge economy while manual labor remains stable indicates a structural shift, not a temporary economic dip. These white-collar jobs are not coming back.

Revising his 2018 predictions, Yang now believes he should have focused on the threat AI poses to white-collar professionals like consultants, law grads, and coders. This is a significant shift, as these were once considered the most secure jobs.

History shows that social stability is threatened not by the long-suffering poor, but by a disgruntled, overeducated middle class. AI's displacement of junior roles in tech and law creates a cohort of indebted graduates who played by the rules but now face unemployment. This group is far more likely to cause political and social unrest.

Contrary to long-held predictions, AI is disrupting high-status, cognitive professions like law and software engineering before manual labor jobs. This surprising reversal upends the perceived value of higher education and traditional career paths, as the jobs requiring expensive degrees are among the first to be threatened by automation.

Recent increases in the unemployment rate are almost entirely concentrated among college-educated workers, while remaining stable for other groups. This specific, non-obvious trend may be an early indicator of AI's disruptive effect on white-collar and knowledge-based professions.

Alex Karp highlights a political paradox: the highly educated, white-collar professionals who form a core Democratic constituency are the most vulnerable to job displacement from AI technologies developed by companies they often politically support. This creates a future political conflict.

The AI revolution will likely bifurcate the job market into a barbell shape. A 'productive class' will master AI and remain economically viable, while an 'unproductive or charity class' will be forced out of the system. This economic displacement will likely fuel anger, resentment, and social violence.

Historically, technological advancements primarily displaced blue-collar workers first. The current AI revolution is unique because its most immediate and realized disruptions are targeting white-collar, knowledge-based roles, breaking a long-standing pattern of technological impact on the labor market.

Unlike past technological revolutions that primarily impacted blue-collar labor, AI is disrupting influential white-collar professions first. As noted by statistician Nate Silver, this dynamic has no political precedent, creating a novel and potentially explosive landscape as an educated, articulate class faces economic displacement.