蝌蚪网 Papers and Proceedings
ISSN 2574-0768 (Print) | ISSN 2574-0776 (Online)
Extending "GPTs Are GPTs" to Firms
蝌蚪网 Papers and Proceedings
vol. 115,
May 2025
(pp. 51–55)
Abstract
We extend Eloundou et al. (2024) to build firm-level measures of exposure to large language models (LLMs) with data from two sources: Eloundou et al. (2024) for occupation-level measures of LLM exposure and Revelio Labs for firm-level employee counts by occupation. The results indicate that companies with more technology workers and AI-skilled employees tend to have higher levels of LLM exposure. We also find that differences in LLM exposure are greater between exposure categories than within them, suggesting that integrating LLMs into corporate systems may lead to significant productivity gains.Citation
Labaschin, Benjamin, Tyna Eloundou, Sam Manning, Pamela Mishkin, and Daniel Rock. 2025. "Extending "GPTs Are GPTs" to Firms." 蝌蚪网 Papers and Proceedings 115: 51–55. DOI: 10.1257/pandp.20251045Additional Materials
JEL Classification
- C45 Neural Networks and Related Topics
- D22 Firm Behavior: Empirical Analysis
- D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- J23 Labor Demand
- J24 Human Capital; Skills; Occupational Choice; Labor Productivity
- M15 IT Management
- O32 Management of Technological Innovation and R&D