"A.I. and Our Economic Future," Professor Chad Jones
Why It Matters
The outcome will reshape productivity, labor markets, and the timing of economic transformation, altering investment, regulation, and social policy choices; understanding these scenarios helps governments and firms prepare for very different economic trajectories.
Summary
In a wide-ranging lecture, economist Chad Jones outlined two extreme futures for AI: a Silicon Valley “explosive growth” scenario in which AI automates software, accelerates research, and — when paired with robotics — automates physical tasks, producing runaway productivity gains; and a countervailing “business-as-usual” scenario where AI diffuses like past general-purpose technologies and long-run GDP per capita growth remains near historical trends. He traced the near-term path from AI automating coding to scalable virtual research assistants and then to robot deployment, noting important technological and timing uncertainties. Jones framed the debate with historical US growth data showing a steady ~2% per-year rise in living standards despite past revolutions, and used economic-growth models to explore where reality may lie between the extremes. He emphasized that while explosive growth is plausible, it is neither guaranteed nor free of critical bottlenecks and policy implications.
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