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 unemployment rate for college-educated young men has surged to 7%, matching that of their peers without a degree. This parity indicates that a traditional degree's value in securing entry-level employment is eroding for this demographic, challenged by AI automation and increased competition from experienced workers.

Instead of protesting AI's impact on entry-level jobs, recent graduates should embrace AI to become experts. They can then leverage this native understanding as a unique selling point to help established, slower-moving organizations transition, creating a powerful career opportunity rather than a threat.

Data has become a primary means of production alongside capital and labor. Following historical parallels with agricultural co-ops and labor unions, communities will likely form "data unions" to pool their data, enabling collective bargaining with large corporations and restoring individual power.

In an AI-driven economy, recent graduates should focus on developing skills that can't be easily automated, like tacit knowledge gained from real-world experience. They should also explore starting small, profitable businesses rather than relying on conventional corporate career paths, which are becoming increasingly precarious.

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.

A significant economic shift is underway as the unemployment rate for college graduates now exceeds that of non-college grads for the first time in decades. This suggests that AI and automation are beginning to devalue routinized information work, potentially making skilled trades more secure than office jobs.

Despite earning degrees, 45% of recent college graduates find themselves in low-wage jobs because they lack marketable skills. This suggests a significant disconnect between traditional, time-based higher education and real-world employer demands, turning many expensive degrees into mere "certificates of attendance."

An unexpected side effect of replacing human managers with "faceless AI systems" is the rise of collective action. When gig workers and others are managed by impersonal algorithms, it fosters solidarity against a common, non-human adversary, leading them to form unions and activist groups to reclaim human agency.