Pre‐AI Sorting, Post‐AI Inequality: Generative AI and the Gender Wage Gap
利用瑞典行政数据，研究了ChatGPT发布前基于性别的职业分类如何与生成式AI的预测暴露相关，并模拟了其对性别工资差距的潜在影响，发现生成式AI可能通过现有性别职业分类模式扩大工资差距。
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.