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Artificial intelligence and jobs: evidence from US commuting zones

Author

Listed:
  • Alessandra Bonfiglioli
  • Rosario Crinò
  • Gino Gancia
  • Ioannis Papadakis

Abstract

We study the effect of Artificial Intelligence (AI) on employment across US commuting zones (CZs) over the period 2000–2020. A simple model shows that AI can automate jobs or complement workers, and illustrates how to estimate its effect by exploiting variation in a novel measure of local exposure to AI: job growth in AI-related professions built from detailed occupational data. Using a shift-share instrument that combines industry-level AI adoption with local industry employment, we estimate robust negative effects of AI exposure on employment across CZs and time. We find that AI’s impact is different from other capital and technologies, and that it works through services more than manufacturing. Moreover, the employment effect is especially negative for low-skill and production workers, while it turns positive for workers at the top of the wage distribution and for those in STEM occupations. These results are consistent with the view that AI has contributed to the automation of jobs and to widen inequality.

Suggested Citation

  • Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia & Ioannis Papadakis, 2025. "Artificial intelligence and jobs: evidence from US commuting zones," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 145-194.
  • Handle: RePEc:oup:ecpoli:v:40:y:2025:i:121:p:145-194.
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    File URL: http://hdl.handle.net/10.1093/epolic/eiae059
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    More about this item

    Keywords

    J23; J24; O33;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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