CESifo Study Finds No Sign of AI-Driven Drop in New Grad Hiring

A working paper from Munich's CESifo research institute finds no evidence that artificial intelligence is reducing hiring of recent college graduates, according to a report from Ars Technica. The finding contradicts an earlier Stanford University study that showed entry-level employment lagging in occupations considered exposed to AI.

What Does the New CESifo Paper Say

Economists Robert Fairlie and Jane Wu, authors of "The Early Impacts of AI on Employment Among Recent College Graduates," wrote that "there is no evidence of any significant, widespread displacement or reduction in hiring of recent college graduates in absolute or relative levels," Ars Technica reported. The researchers said they focused on recent graduates because labor-demand shifts tend to show up first in hiring decisions rather than in layoffs of established employees, as firms adopting AI for standardized office tasks would likely cut new hiring for simpler roles before dismissing veteran staff.

"There is no evidence of any significant, widespread displacement or reduction in hiring of recent college graduates in absolute or relative levels."

How Does This Compare With the Stanford Findings

The CESifo conclusion runs counter to a Stanford study circulated last month that found entry-level employment in AI-exposed occupations trailing behind employment in other fields, according to Ars Technica. The two papers reach different conclusions using different methods and data sets, and Ars Technica did not report the Stanford study directly addressing the CESifo findings.

What Data Did Researchers Examine

Fairlie and Wu drew on detailed microdata from the U.S. Census Bureau's Current Population Survey, tracking unemployment among Bachelor's degree recipients ages 22 to 25 who were not pursuing further degrees. They compared year-over-year and seasonal trends dating to 2022, the year employment returned to pre-pandemic levels and the year ChatGPT launched. The summer 2026 unemployment rate for that group was 7.3 percent, within the range recorded from 2022 to 2024, when the rate ran from 6.3 percent to 7.8 percent, Ars Technica reported.

Why Some Executives Still Expect AI Disruption

The CESifo researchers acknowledged reasons to expect 2026 graduates could face more AI-related risk than earlier cohorts. They cited a Census survey showing a sharp rise in the number of firms replacing a large number of employee tasks with AI, along with broad increases in AI spending per employee and ChatGPT Enterprise token use over the past year, according to Ars Technica. BlackRock CEO Larry Fink said in March that the pace of AI adoption led him to worry that this year's graduates could face the highest youth unemployment rate in years "even without a recession," Ars Technica reported. Venture capitalist Marc Andreessen said earlier this year that AI "literally until December [2025] was not actually good enough to do any of the jobs that they're actually cutting."

What Remains Uncertain Going Forward

The CESifo paper covers labor data only through the current period, and its authors framed their conclusion around hiring levels rather than task-level changes inside firms. Ars Technica's report did not indicate whether the researchers plan follow-up work tracking how the sharp rise in AI spending and task replacement documented in Census surveys might affect graduate hiring in later cycles.

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