Remote Work Leaves Younger Workers Sidelined
Abstract
Youth unemployment has risen dramatically since the pandemic—as has the prevalence of remote work. Our analysis suggests that these trends are related, with remote work making it more difficult for managers to train and mentor new employees. Accordingly, companies may be reluctant to hire less-experienced workers in distributed work arrangements. We estimate that remote work can explain 64 percent of the recent increase in unemployment among young college graduates. Further, the timing of this surge suggests that remote work—not generative AI—explains the bulk of the rise in youth unemployment.
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The growth of remote work impedes the informal training and mentoring junior workers require, making firms more reluctant to hire inexperienced workers.
“Studying an earlier period, they estimate that the growth of remote work impedes the informal training and mentoring that junior workers require, which makes firms more reluctant to hire inexperienced workers.”
From The Early Impacts of AI on Employment among Recent College Graduates (2026) · cites this paper as Emanuel, Harrington and Pallais, 2026
These estimates are at least somewhat consistent with evidence that remote work has weakened labor market entry for junior workers.
“These estimates are at least somewhat consistent with evidence that remote work has weakened labor market entry for junior workers (Emanuel, Harrington and Pallais, 2026).”
From The Early Impacts of AI on Employment among Recent College Graduates (2026) · cites this paper as Emanuel, Harrington and Pallais, 2026
Cited by
Sorted by citations
The Early Impacts of AI on Employment among Recent College Graduates
Fairlie, R., & Wu, J. (2026) · doi:10.3386/w35796
- Authors
- Emanuel, N., Harrington, E., & Pallais, A.
- Affiliations
- Federal Reserve Bank of New York (US)
- Venue
- Liberty Street Economics (Federal Reserve Bank of New York)
- Publisher
- Federal Reserve Bank of New York
- Published
- 2026-06-01
- ISSN
- 3066-8794
- OpenAlex
- W7163046492
- Cited by
- 0
- References
- 0
- Type
- report
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Political Science and International Relations › Education and Labor Relations
- Social Sciences › Sociology and Political Science › Work-Family Balance Challenges
- Keywords
- remote work, youth unemployment, employee training, mentoring, hiring discrimination, COVID-19 pandemic, generative AI, labor market
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