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AI and Women's Employment in Europe

Author

Listed:
  • Stefania Albanesi
  • António Dias da Silva
  • Juan F. Jimeno
  • Ana Lamo
  • Alena Wabitsch

Abstract

We examine the link between the diffusion of artificial intelligence (AI)-enabled technologies and changes in the female employment share in 16 European countries over the period 2011–2019. Using data for occupations at the three-digit level, we find that on average female employment shares increased in occupations more exposed to AI. Countries with high initial female labor force participation and higher initial female relative education show a stronger positive association. While there exists heterogeneity across countries, almost all show a positive relation between changes in female employment shares within occupations and exposure to AI-enabled automation.

Suggested Citation

  • Stefania Albanesi & António Dias da Silva & Juan F. Jimeno & Ana Lamo & Alena Wabitsch, 2025. "AI and Women's Employment in Europe," AEA Papers and Proceedings, American Economic Association, vol. 115, pages 46-50, May.
    • Handle: RePEc:aea:apandp:v:115:y:2025:p:46-50
    DOI: 10.1257/pandp.20251044
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    More about this item

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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