Daniel Carvajal (), Catalina Franco () and Siri Isaksson ()
Additional contact information
Daniel Carvajal: Dept. of Economics, Norwegian School of Economics and Business Administration, Postal: NHH, Department of Economics, Helleveien 30, N-5045 Bergen, Norway,
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
Abstract: We conduct two survey experiments to examine gender differences in generative AI adoption and potential labor market consequences. First, we document a substantial gender gap 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 acquiring AI skills significantly enhances job prospects for top female students currently opting out. Finally, we provide causal evidence on policy tools to close this gap. Our findings show generative AI could widen existing gender gaps in the labor market, but appropriate encouragement and policies can prevent this outcome.
Keywords: Artificial intelligence; ChatGTP; gender; education; technology adoption
Language: English
125 pages, First version: March 14, 2024. Revised: October 31, 2024. Earlier revisions: August 5, 2024, August 5, 2024, September 30, 2024, September 30, 2024, October 31, 2024.
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