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How Adaptable Are American Workers to AI-Induced Job Displacement?

In: The Economics of Transformative AI

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  • Sam Manning
  • Tomás Aguirre

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  • Sam Manning & Tomás Aguirre, 2026. "How Adaptable Are American Workers to AI-Induced Job Displacement?," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15313
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    File URL: http://www.nber.org/chapters/c15313.pdf
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    References listed on IDEAS

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    1. David Card & Raj Chetty & Andrea Weber, 2007. "The Spike at Benefit Exhaustion: Leaving the Unemployment System or Starting a New Job?," American Economic Review, American Economic Association, vol. 97(2), pages 113-118, May.
    2. Bleakley, Hoyt & Lin, Jeffrey, 2012. "Thick-market effects and churning in the labor market: Evidence from US cities," Journal of Urban Economics, Elsevier, vol. 72(2), pages 87-103.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. Braga, Breno, 2018. "Earnings dynamics: The role of education throughout a worker’s career," Labour Economics, Elsevier, vol. 52(C), pages 83-97.
    5. Asger Lau Andersen & Amalie Sofie Jensen & Niels Johannesen & Claus Thustrup Kreiner & Søren Leth-Petersen & Adam Sheridan, 2023. "How Do Households Respond to Job Loss? Lessons from Multiple High-Frequency Datasets," American Economic Journal: Applied Economics, American Economic Association, vol. 15(4), pages 1-29, October.
    6. Daniele Caratelli, 2024. "Labor Market Recoveries Across the Wealth Distribution," Staff Discussion Papers 24-01, Office of Financial Research, US Department of the Treasury.
    Full references (including those not matched with items on IDEAS)

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