Research published by the World Bank’s Human Capital Project and authored by Gabriel Demombynes, Jorg Langbein, and Michael Weber, examines the effects of AI on labor markets in developing economies. While previous research has focused mainly on high-income countries, this study expands the discussion by analyzing labor force microdata from 25 countries covering 3.5 billion people. It employs the AI Occupational Exposure (AIOE) index, developed by Felten et al. (2021), to assess how AI exposure varies across different income levels, industries, and worker demographics. The results highlight significant disparities, with high-income countries (HICs) leading in AI exposure, while low-income countries (LICs) remain the least affected due to differences in economic structures, workforce composition, and infrastructure.
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