The (Short-Term) Effects of Large Language Models on Unemployment and Earnings

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Main Authors: Chen, Danqing, Kane, Carina, Kozlowski, Austin, Kunievsky, Nadav, Evans, James A.
Format: Preprint
Published: 2025
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author Chen, Danqing
Kane, Carina
Kozlowski, Austin
Kunievsky, Nadav
Evans, James A.
author_facet Chen, Danqing
Kane, Carina
Kozlowski, Austin
Kunievsky, Nadav
Evans, James A.
contents Large Language Models have spread rapidly since the release of ChatGPT in late 2022, accompanied by claims of major productivity gains but also concerns about job displacement. This paper examines the short-run labor market effects of LLM adoption by comparing earnings and unemployment across occupations with differing levels of exposure to these technologies. Using a Synthetic Difference in Differences approach, we estimate the impact of LLM exposure on earnings and unemployment. Our findings show that workers in highly exposed occupations experienced earnings increases following ChatGPT's introduction, while unemployment rates remained unchanged. These results suggest that initial labor market adjustments to LLMs operate primarily through earnings rather than worker reallocation.
format Preprint
id arxiv_https___arxiv_org_abs_2509_15510
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
Chen, Danqing
Kane, Carina
Kozlowski, Austin
Kunievsky, Nadav
Evans, James A.
General Economics
Economics
Artificial Intelligence
Computers and Society
Large Language Models have spread rapidly since the release of ChatGPT in late 2022, accompanied by claims of major productivity gains but also concerns about job displacement. This paper examines the short-run labor market effects of LLM adoption by comparing earnings and unemployment across occupations with differing levels of exposure to these technologies. Using a Synthetic Difference in Differences approach, we estimate the impact of LLM exposure on earnings and unemployment. Our findings show that workers in highly exposed occupations experienced earnings increases following ChatGPT's introduction, while unemployment rates remained unchanged. These results suggest that initial labor market adjustments to LLMs operate primarily through earnings rather than worker reallocation.
title The (Short-Term) Effects of Large Language Models on Unemployment and Earnings
topic General Economics
Economics
Artificial Intelligence
Computers and Society
url https://arxiv.org/abs/2509.15510