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Technological progress, measured as productivity growth, has been surprisingly slow since the 1970s. This low-growth environment forces a zero-sum mindset where one person's gain requires another's loss, fueling political division. High AI-driven growth could create a positive-sum environment, reducing political friction.
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.
The same general-purpose technologies, like social media or AI, function as a wedge. They create massive productivity gains and wealth for a minority who leverage them effectively, while simultaneously distracting and disadvantaging the majority who passively consume them.
Beyond compute and talent, the critical challenge in the US-China AI race is managing the societal transition. The winner will be the country that can successfully balance rapid AI-driven economic growth with the political and social instability caused by widespread automation and public fear.
Economists skeptical of explosive AI growth use a recent 'outside view,' noting that technologies like the internet didn't cause a productivity boom. Proponents of rapid growth use a much longer historical view, showing that growth rates have accelerated over millennia due to feedback loops—a pattern they believe AI will dramatically continue.
Throughout history, a large gap between the 'haves' and 'have-nots' is a recipe for revolution. This economic disparity fuels populism and social unrest more profoundly and consistently than external shocks like pandemics, technological disruption like AI, or even war.
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.
The US economy is currently experiencing near-zero job growth despite typical 2% productivity gains. A significant increase in productivity driven by AI, without a corresponding surge in economic output, could paradoxically lead to outright job losses. This creates a scenario where positive productivity news could have negative employment consequences.
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.
The primary obstacle to unlocking AI's potential is not computational power but political control over energy. The argument is that governments restrict access to abundant energy sources, which stifles the global wealth creation necessary for people to afford and power advanced AI systems.
Contrary to hype, AI's productivity gains may only serve to offset negative growth pressures from declining demographics and climate change. The central case is that AI keeps the economy running at the same pace, not faster, requiring a 1% annual productivity boost just to break even.