蝌蚪网 Papers and Proceedings
ISSN 2574-0768 (Print) | ISSN 2574-0776 (Online)
Local Heterogeneity in Artificial Intelligence Jobs over Time and Space
蝌蚪网 Papers and Proceedings
vol. 115,
May 2025
(pp. 29–34)
Abstract
We examine the spatial dynamics of AI adoption in the United States, leveraging county-level job postings data from 2014 to 2023. We document significant variation in AI intensity across counties and rapid growth occurring in unexpected suburban and remote-friendly areas such as Maries, Missouri, and Hughes, South Dakota. Controlling for county and year fixed effects, we find that higher shares of STEM degrees, labor market tightness, patent activity, lower manufacturing intensity, and turnover rates are key drivers of AI adoption. Our results point to the critical role of local education, innovation, and labor market dynamics in shaping adoption patterns.Citation
Andreadis, Lefteris, Eleni Kalotychou, Manolis Chatzikonstantinou, Christodoulos Louca, and Christos A. Makridis. 2025. "Local Heterogeneity in Artificial Intelligence Jobs over Time and Space." 蝌蚪网 Papers and Proceedings 115: 29–34. DOI: 10.1257/pandp.20251001Additional Materials
JEL Classification
- C45 Neural Networks and Related Topics
- I26 Returns to Education
- J23 Labor Demand
- J24 Human Capital; Skills; Occupational Choice; Labor Productivity
- M15 IT Management
- O32 Management of Technological Innovation and R&D
- R23 Urban, Rural, Regional, Real Estate, and Transportation Economics: Regional Migration; Regional Labor Markets; Population; Neighborhood Characteristics