CESifo researchers analyzed unemployment trends among recent college graduates in 2026 and found no significant increase compared to previous years. The study, titled 'The Early Impacts of AI on Employment Among Recent College Graduates,' examined data from the US Census' Current Population Survey to track summer unemployment rates for Bachelor’s degree recipients aged 22 to 25.
The 2026 summer unemployment rate for this group was 7.3 percent, well within the historical range of 6.3 percent in 2022 to 7.8 percent in 2024. Researchers also included graduates who expressed a desire for work but were not actively seeking employment, finding the 2026 numbers remained unremarkable.
To ensure the findings were robust, the team compared recent graduates with non-college graduates and older college graduates. They also broke down employment by potential 'AI exposure' based on a 2023 study of job roles most suited to AI systems. In all comparisons, any differences in unemployment trends were not statistically significant.
"There is no evidence of any significant, widespread displacement or reduction in hiring of recent college graduates in absolute or relative levels," said researchers Robert Fairlie and Jane Wu. The study highlights that AI adoption may lead to reduced hiring for simpler roles rather than layoffs of experienced workers.
The analysis contrasts with a recent Stanford study that found entry-level employment in AI-impacted fields lagging behind other fields. The CESifo researchers noted that Stanford’s study used payroll data from ADP, which may not capture the full scope of a Census survey.
They also emphasized that the 2026 data serve as a 'useful first test' of AI’s impact on the job market.
CESifo researchers did not predict a major shift in unemployment for future graduates, but warned that continued AI adoption could affect later cohorts. They urged more data to assess long-term impacts as AI use in workplaces deepens.
Source: arstechnica
