Global Evidence on Gender Gaps and Generative AI

Nicholas G. Otis, Katelyn Cranney, Solene Delecourt and Rembrand Koning
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Rembrand Koning: Harvard Business School

No h6a7c, OSF Preprints from Center for Open Science

Abstract: Generative AI has the potential to transform productivity and reduce inequality, but only if used broadly. In this paper, we show that recently identified gender gaps in AI use are nearly universal. Synthesizing evidence from 16 studies that surveyed 100,000 individuals across 26 countries, along with new data on the gender of AI platform users, we show that the AI gender gap is present in nearly all regions, sectors, and occupations. Using data from two studies that offered participants the chance to use AI tools, we then show that even when the opportunity for men and women to access AI is equalized, women are still less likely to use AI. Our findings underscore the critical need for targeted interventions that go beyond access to address the structural and behavioral barriers that have resulted in a global gender gap in AI use.

Date: 2024-10-14
New Economics Papers: this item is included in nep-ain and nep-tid
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:h6a7c

DOI: 10.31219/osf.io/h6a7c

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