Abstract
We examine how gender-based occupational sorting before the release of ChatGPT relates to predicted exposure to generative AI and its potential implications for the gender wage gap. Using Swedish administrative data, we document that women are overrepresented in occupations predicted to be more affected by generative AI. Mechanical partial-equilibrium simulations, based on hypothesized deviations from the 2021 occupational and wage distribution and incorporating predicted AI exposure and task complementarity, indicate that generative AI may widen the gender wage gap through existing patterns of gender-based occupational sorting.
| Original language | English |
|---|---|
| Peer-reviewed scientific journal | Oxford Bulletin of Economics and Statistics |
| ISSN | 0305-9049 |
| DOIs | |
| Publication status | Published - 2026 |
| MoE publication type | A1 Journal article - refereed |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
Keywords
- 511 Economics
- complementarity
- gender wage gap
- generative AI
- ccupational sorting
- technological change
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