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AI and the Future of Economic Productivity

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In this discussion, Salome and Doug explore what current research tells us about AI, productivity, wages, and the skill premium. Starting with recent work by David Bloom, Klaus Prettner and their coauthors, we look at how AI and automation may affect high-skilled and low-skilled workers differently, and why a simple partial-equilibrium model is a useful starting point—but not the end of the story. We also discuss emerging evidence on AI adoption and productivity, the productivity J-curve, and why the full economic effects of AI may take time to appear in aggregate data. Finally, we look at how these questions can be explored through richer economic models and introduce the work being developed through the Global Forecasting School, The Better Policy Project, and AI-Powered-Learning.org. #ArtificialIntelligence #Economics #Productivity #AI #Macroeconomics #EconomicModeling #FutureOfWork #GlobalForecastingSchool

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