AI was supposed to hit new grads hard. So far, unemployment data says otherwise.

Your job prospects this year are not yet measurably worse due to AI. You will need more data to see if next year's graduates face these challenges.

New research from CESifo challenges the notion that AI is currently displacing new college graduates from the job market. A working paper by economists Robert Fairlie and Jane Wu analyzed US Census Current Population Survey data from 2022 to 2026, focusing on recent graduates aged 22-25. Their findings indicate that the summer 2026 unemployment rate for this demographic was 7.3 percent, which falls within the historical range observed since 2022 and shows no statistically significant increase compared to previous years or other groups. This contrasts with some anecdotal evidence and other studies, like one from Stanford University, which suggested AI was negatively impacting entry-level hiring. The CESifo researchers attribute this discrepancy to differences in data sources and methodologies, with their analysis considering broader labor market demand. They caution, however, that future graduating classes might face increased impact as AI adoption continues to accelerate.

Despite widespread concerns and high-profile predictions, current unemployment data for recent college graduates in 2026 does not show a significant negative impact from AI. The CESifo working paper suggests that while firms might be integrating AI to handle standardized tasks, they are not yet reducing overall hiring of entry-level workers to a degree that alters national unemployment statistics. This implies that the immediate threat of AI-driven job displacement for new graduates is not materializing as rapidly as some anticipated, allowing for a more normalized entry into the workforce for the current cohort.

The divergence between this research and earlier Stanford findings highlights the complexity of measuring AI's labor market impact, especially for entry-level roles. While AI adoption and spending are increasing, the CESifo study indicates that these shifts have not yet translated into widespread hiring reductions for recent graduates. However, the researchers explicitly warn that this is a snapshot, and the graduating classes of 2027 and beyond may indeed experience more pronounced effects as AI integration deepens within companies.