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.

The rapid displacement of jobs by AI will cause suffering beyond finances. It will trigger a profound crisis of meaning and identity for millions whose sense of self is tied to their profession, creating emotional distress and potential societal unrest.

Early-career knowledge work (e.g., in law and programming) is being automated by AI while the gig economy, a traditional safety net, is shrinking. This combination severely limits opportunities for young people entering the workforce, creating a significant societal and economic challenge.

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.

The political hope is that AI-driven productivity will solve the national debt. The overlooked danger is that AI's first casualties will be highly-paid, indebted professionals (bankers, lawyers), whose mass defaults could crash the financial system before any 'age of abundance' arrives.

Contrary to fears of mass unemployment, AI's biggest losers will likely be the upper-middle class. The traditionally secure, high-paying career paths in consulting and law are highly susceptible to AI disruption, while other socioeconomic groups may see more benefits.

The debate over national debt is a distraction from the more pressing issue: AI will soon make many high-paying professional jobs obsolete. The urgent conversation should be about reforming society to share the resulting abundance, not fighting yesterday's financial battles.

By openly discussing AI-driven unemployment, tech leaders have made their industry the default scapegoat. If unemployment rises for any reason, even a normal recession, AI will be blamed, triggering severe political and social backlash because leaders have effectively "confessed to the crime" ahead of time.