Occupational Exposure to Large Language Models: A Sectoral Analysis
This paper develops a framework for measuring occupational exposure to large language model capabilities, with estimates for 800+ occupations across 22 industry sectors.
Working papers, research briefs, and technical reports on labor market dynamics in the context of automation and artificial intelligence.
This paper develops a framework for measuring occupational exposure to large language model capabilities, with estimates for 800+ occupations across 22 industry sectors.
Analysis of historical automation events reveals significant variation in labor market adjustment periods, with implications for policy intervention timing.
Mapping the spatial distribution of AI adoption across U.S. metro areas, with analysis of correlations to labor market characteristics and educational attainment.
Using plant-level automation data matched to worker records, we estimate the causal effect of automation exposure on wages across skill levels.
Systematic review of 47 workforce reskilling programs, evaluating completion rates, employment outcomes, and wage trajectories.
Survey of 500 U.S. employers on AI adoption plans, workforce restructuring expectations, and perceived skill gaps.
Development and validation of the Labor Risk Institute's task-based automation susceptibility index.
Analysis of automation exposure in administrative occupations with discussion of policy interventions to support affected workers.
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