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Technological shifts can create a period where national productivity soars but real wages for skilled workers fall. We are in a modern 'Engels Pause,' similar to the 19th-century Industrial Revolution, which historically led to revolutions in ownership, education, and political power.

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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.

The thesis that AI will displace labor, drive down prices, and hollow out consumer demand mirrors Marx's analysis of capitalism. Firms boost profits by replacing labor with machinery, but this ultimately destroys the purchasing power the system relies on.

Contrary to the feeling of rapid technological change, economic data shows productivity growth has been extremely low for 50 years. AI is not just another incremental improvement; it's a potential shock to a long-stagnant system, which is crucial context for its impact.

History's major technological shifts—industrialization, electrification, the internet—each wiped out the careers of one to two generations. Those workers suffered while their grandchildren benefited. AI is likely to repeat this pattern, creating a generational chasm between those who lose and those who gain.

Previous technological shifts primarily automated low-skill jobs, widening inequality. AI, however, is poised to replace or augment tasks done by high-earning knowledge workers. This could lead to a compression of the wage distribution, a reversal of historical trends driven by technology.

Like the Industrial Revolution, AI will ultimately be a net creator of jobs by enabling new business models. The critical societal risk is the interim period where job losses are immediate, but the creation of new industries lags, potentially leading to social unrest and political backlash.

In a future where AI and robots create all wealth and concentrate it among a few owners, societal stability will be impossible. To prevent a violent revolution, a massive redistribution of wealth—akin to communism or UBI—will become a pragmatic necessity, even for those ideologically opposed to it.

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.

Past technological shifts occurred over decades, allowing labor markets to gradually adjust. AI's disruption is happening over years, a speed that historical models can't account for. This compressed timeline means new jobs and retraining won't happen fast enough, demanding immediate policy interventions like expanded capital ownership.

Past industrial revolutions unfolded over 50-100 years, allowing gradual societal adaptation. Today's AI-driven revolution is happening in a compressed timeframe, creating massive wealth shifts because there's no time for individuals or institutions to catch up. Proactive learning is the only defense.

Today's AI-Driven Economy Mirrors the 'Engels Pause' That Birthed Socialism | RiffOn