AI, Redistribution, and the Size of the Pie
EconomicsPublic Policy
THE AI ANGLE
Automating tasks to drive substantial GDP growth while sharply reducing labor's share of incomeEvaluating an economic model by Anton Korinek and Chad Jones, Alex Tabarrok highlights that even an extreme AI scenario reducing labor's share of GDP from 60% to 45.2% can leave aggregate labor income unchanged due to a projected 32.4% expansion in output. However, aggregate stability conceals sharp distributional losses for cognitive occupations, prompting debate over how feasible it is to compensate affected workers through economic growth, labor reallocation, and shifts from labor to consumption taxes.
THE TEACHING ANGLE
Instructors can explore the tension between a declining labor share and stable aggregate labor income, examining whether economic growth and tax-shifting mechanisms can realistically compensate specific displaced groups like cognitive workers.Read the original at marginalrevolution.com Generate teaching or study materials
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