Pre-AI sorting, post-AI inequality : generative AI and the gender wage gap

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 find that women are overrepresented in occupations predicted to be more affected by generative AI. Simulations based on deviations from the 2021 occupational and wage distribution - incorporating predicted AI exposure and task complementarity - show that generative AI can widen the gender wage gap through existing patterns of occupational sorting.