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PreprintCited by 20Labor market dynamics and wage inequalityDigital Economy and Work TransformationAI and HR Technologies

Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting Data

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Hosseini Maasoum, Seyed Mahdi, Lichtinger, Guy·2025·SSRN Electronic Journal
DOI 10.2139/ssrn.5425555
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Abstract

We study whether generative AI (GenAI) constitutes seniority-biased technological change, disproportionately reducing demand for junior workers. We develop a conceptual framework in which GenAI adoption reduces junior labor demand through task displacement and labor-saving productivity gains. We test the framework's mechanisms and implications using U.S. résumé data covering 65 million workers at more than 280,000 firms (2015--2025), allowing us to track firm-level employment by seniority. GenAI adoption is identified through text analysis that detects ‘GenAI integrator’ job postings, signaling active GenAI implementation by firms. Following adoption, junior employment declines sharply in adopting firms relative to non-adopters, while senior employment trends remain largely unchanged. This decline is concentrated in occupations most exposed to GenAI, and within occupations, GenAI-exposed tasks are increasingly removed from junior job postings. The decline is driven primarily by slower hiring rather than increased separations.

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  • Hosseini and Lichtinger (2025) find a corresponding drop in junior hiring at U.S. firms that adopt Generative AI.

    “Hosseini and Lichtinger (2025) find a corresponding drop in junior hiring at U.S. firms that adopt Generative AI.”

    From Labor Market Consequences of Generative AI: Early Evidence from Norway (2026) · cites this paper as Hosseini and Lichtinger, 2025

Cites

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Authors
Hosseini Maasoum, S. M., & Lichtinger, G.
Affiliations
Harvard University (US)
Corresponding author
Lichtinger, Guy
ORCID
Lichtinger, Guy
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2025
ISSN
1556-5068 (ISSN-L)
DOI
10.2139/ssrn.5425555
OpenAlex
W4414051678
Cited by
19
References
21
Citations by year
2026: 15 · 2025: 4
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (acceptedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Keywords
generative AI, labor demand, job advertisements, personnel selection, firm-level employment, artificial intelligence adoption

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