Extending “GPTs Are GPTs” to Firms

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.

Authors

Institutions

Publication Details

Journal
AEA Papers and Proceedings
Published
2025-05-01
DOI
https://doi.org/10.1257/pandp.20251045
Primary Topic
ICT Impact and Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extending “GPTs Are GPTs” to Firms

Daniel L. Rock, Pamela Mishkin, Sam Manning, Tyna Eloundou et al.
AEA Papers and Proceedings
ICT Impact and Policies
article

Extending “GPTs Are GPTs” to Firms

Daniel L. Rock, Pamela Mishkin, Sam Manning, Tyna Eloundou, Benjamin Labaschin
article en

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.

AEA Papers and ProceedingsVol. 115
Institute on Governance (CA), Carepayment (United States) (US), OpenAI (United States) (US), Oldham Council (GB), Centre for the Governance of AI, University of Pennsylvania (US)
Openalex Percentile: Top 83%
ICT Impact and Policies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.