Replication Package for "Quantifying AI's Impact Across Occupations: The GENOE Index"

Assessing how artificial intelligence (AI) will transform labor markets requires robust measures of occupational vulnerability. We develop a novel methodology using large language models to conduct synthetic expert surveys, creating the Generated Index of Occupational Exposure (GENOE). This approach evaluates 759 occupations by analyzing task-level exposure while incorporating social, ethical, and regulatory considerations. Results indicate that average occupational exposure to AI is 0.28 within one year, rising to 0.38 and 0.44 over five- and 10-year horizons, with administrative and production roles most vulnerable. Applied to labor market data, we estimate 43 million U.S. jobs and 16 million Mexican jobs face high exposure within one year, disproportionately affecting women and lower-income workers. This granular assessment of AI's workforce impact enables evidence-based policy responses to technological disruption.