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The gen AI gender gap

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Listed:
  • Aldasoro, Iñaki
  • Armantier, Olivier
  • Doerr, Sebastian
  • Gambacorta, Leonardo
  • Oliviero, Tommaso

Abstract

Data from the Survey of Consumer Expectations shows that 50% of men use generative AI tools, compared to 37% of women. Privacy concerns and perceived opportunities and risks explain a quarter of the gender gap. Respondents’ self-assessed knowledge emerges as the most important factor.

Suggested Citation

  • Aldasoro, Iñaki & Armantier, Olivier & Doerr, Sebastian & Gambacorta, Leonardo & Oliviero, Tommaso, 2024. "The gen AI gender gap," Economics Letters, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:ecolet:v:241:y:2024:i:c:s0165176524002982
    DOI: 10.1016/j.econlet.2024.111814
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    References listed on IDEAS

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    1. Jonah B. Gelbach, 2016. "When Do Covariates Matter? And Which Ones, and How Much?," Journal of Labor Economics, University of Chicago Press, vol. 34(2), pages 509-543.
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    5. Iñaki Aldasoro & Sebastian Doerr & Leonardo Gambacorta & Daniel Rees, 2024. "The impact of artificial intelligence on output and inflation," BIS Working Papers 1179, Bank for International Settlements.
    6. Chen, S. & Doerr, S. & Frost, J. & Gambacorta, L. & Shin, H.S., 2023. "The fintech gender gap," Journal of Financial Intermediation, Elsevier, vol. 54(C).
    7. Sebastian Doerr & Leonardo Gambacorta & Luigi Guiso & Marina Sanchez del Villar, 2023. "Privacy regulation and fintech lending," BIS Working Papers 1103, Bank for International Settlements.
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    Cited by:

    1. Raphael Auer & David Köpfer & Josef Sveda, 2024. "The rise of generative AI: modelling exposure, substitution and inequality effects on the US labour market," BIS Working Papers 1207, Bank for International Settlements.

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    More about this item

    Keywords

    Generative artificial intelligence; Privacy; Gender;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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