The Empirical Economics of AI
What's the State of the Art of Data Collection?
A searchable directory of datasets and papers on the emerging empirical economics of AI, including its adoption and impacts on the workforce
Project by Tomás Aguirre, mentored by Sam Manning (Centre for the Governance of AI)
114
Datasets
152
Papers
16
Categories
110
Institutions
Explore Datasets
Browse 114 datasets across 16 categories, with filters for access type, institutional source, and more.
Explore Papers
Browse 152 empirical papers on AI and labor markets, searchable by methods, datasets used, and research focus.
About
This directory accompanies the review piece “The Empirical Economics of AI: What's the State of the Art of Data Collection?” It catalogs the datasets and empirical papers that form the backbone of labor economics research on AI adoption, automation, and workforce transformation. The goal is to help researchers identify available data sources and understand the current measurement landscape.
Some annotations were human-generated, some AI-generated. All are being reviewed.