
Remote Work, Not AI, Is Behind the Young-Graduate Hiring Slump, Fed Study Finds
By JBizNews Desk
June 2, 2026
The biggest obstacle facing many recent college graduates may not be artificial intelligence after all.
According to a study published June 1 by the Federal Reserve Bank of New York on its Liberty Street Economics blog, the rise of remote work—not AI—is the primary driver behind higher unemployment among young college graduates.
The research was conducted by Natalia Emanuel of the New York Fed alongside Emma Harrington of the University of Virginia and Amanda Pallais of Harvard University.
The numbers are striking.
The unemployment rate for recent college graduates rose to 5.6% in March 2026, up from 3.6% in March 2019, before the pandemic transformed workplace norms.
The researchers estimate that approximately 64% of that increase can be attributed to work-from-home trends.
Their conclusion centers on training rather than technology.
When employees work remotely, companies become less willing to hire inexperienced workers who require mentoring and supervision. Teaching new graduates through video calls and virtual meetings is simply harder than training them in person.
As the researchers wrote, “Remote work has weakened incentives to hire young workers by impeding on-the-job training.”
The result is a growing preference for more experienced workers who can operate independently with minimal oversight.
The evidence becomes clearer when comparing different professions.
The researchers examined occupations that can be performed remotely—such as software engineering, accounting, finance, and consulting—against occupations that require physical presence, including nursing and mechanical engineering.
In fields requiring hands-on work, youth employment has largely returned to pre-pandemic norms.
Nursing, in particular, remains one of the strongest hiring sectors.
The deterioration appears concentrated almost entirely in remote-capable occupations.
That distinction is important because it weakens the argument that AI is primarily responsible. If artificial intelligence were the main cause, economists would likely expect broader effects across white-collar jobs regardless of age.
A case study involving a large technology company reinforced the findings.
After shifting to remote work, the company significantly reduced hiring of recent graduates and instead hired workers who were, on average, roughly ten years older.
When the company later implemented a stricter return-to-office policy, hiring of younger workers increased again.
The findings arrive amid a broader transformation of the American workplace.
According to Gallup, approximately 78% of jobs in remote-capable industries now operate under remote or hybrid arrangements, compared with about 40% in 2019. Fully in-office roles have fallen from roughly 60% to about 22% during the same period.
At the same time, younger workers overwhelmingly prefer flexibility. Surveys show only about 6% of Gen Z workers favor fully in-office employment, with most preferring hybrid schedules.
The Fed’s findings suggest that flexibility may carry unintended consequences.
The arrangements many experienced workers fought to secure may be making it harder for the next generation to get its foot in the door.
Other researchers are reaching similar conclusions.
A separate study from economists at the London School of Economics and the University of Oxford, examining hundreds of millions of hiring records across the United States, Canada, Australia, and the United Kingdom, likewise found remote work to be a more significant factor in early-career hiring weakness than artificial intelligence.
Some economists see a compromise.
Nicholas Bloom, a Stanford University economist known for his work on remote employment, argues that hybrid schedules may provide the best balance by preserving in-person collaboration while maintaining workplace flexibility.
For businesses, the findings raise an important strategic question.
Companies may save money and improve employee satisfaction through remote work, but they risk weakening their pipeline of future talent if fewer young workers receive the mentoring necessary to develop into future leaders.
For the broader economy, the implications are significant.
Early-career unemployment often carries lasting effects, influencing earnings, advancement opportunities, and career trajectories for years.
The researchers emphasize that artificial intelligence could eventually play a larger role.
As AI systems increasingly handle entry-level tasks, the labor market may evolve further.
For now, however, the evidence points to a different culprit.
The challenge facing many young graduates appears to be the home office—not the algorithm.
New York — JBizNews Desk
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