Will Artificial Intelligence Get in the Way of Achieving Gender Equality?

Daniel Carvajal (), Catalina Franco () and Siri Isaksson ()
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Daniel Carvajal: Dept. of Economics, Aalto University, Postal: Aalto University, Department of Economics, Ekonominaukio 1, FI-02150 Espoo, Finland, https://danielcarvajalz.github.io/
Catalina Franco: Center for Applied Research (SNF), Postal: NHH, Center of Applied Research, Helleveien 30, N-5045 Bergen, Norway
Siri Isaksson: Dept. of Economics, Norwegian School of Economics and Business Administration, Postal: NHH, Department of Economics, Helleveien 30, N-5045 Bergen, Norway, https://sites.google.com/view/siriisaksson/home

No 3/2024, Discussion Paper Series in Economics from Norwegian School of Economics, Department of Economics

Abstract: We conduct two surveys with preregistered experiments to examine gender differences in generative AI adoption and potential labor market consequences. First, we document a substantial gender gap in AI adoption among students at a top business school in Norway, with female students, particularly top students, opting out of AI use. Second, a survey of managers shows that acquiring AI skills would significantly enhance job prospects for top female students currently avoiding AI. Finally, we provide causal evidence on policy tools to close the gender gap in AI adoption. Our findings show that while generative AI could widen existing gender gaps in the labor market, with the right policies, it could instead be leveraged to help close them.

Keywords: Generative AI; ChatGTP; gender; labor market; technology adoption (search for similar items in EconPapers)
JEL-codes: I24 J16 J24 O33 (search for similar items in EconPapers)
Pages: 121 pages
Date: 2024-03-14, Revised 2025-03-20
New Economics Papers: this item is included in nep-ain, nep-gen, nep-hrm, nep-lma, nep-ltv and nep-tid
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