Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence

On September 29, 2025, Bharat Chandar, postdoctoral fellow at the Stanford Digital Economy Lab, and Ruyu Chen, research scientist at the Stanford Digital Economy Lab, presented the findings of their recent paper “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence.”

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Abstract
This paper examines changes in the labor market for occupations exposed to generative artificial intelligence using high-frequency administrative data from the largest payroll software provider in the United States. We present six facts that characterize these shifts. We find that since the widespread adoption of generative AI, early-career workers (ages 22-25) in the most AI-exposed occupations have experienced a 13 percent relative decline in employment even after controlling for firm-level shocks.

In contrast, employment for workers in less exposed fields and more experienced workers in the same occupations has remained stable or continued to grow. We also find that adjustments occur primarily through employment rather than compensation. Furthermore, employment declines are concentrated in occupations where AI is more likely to automate, rather than augment, human labor. Our results are robust to alternative explanations, such as excluding technology-related firms and excluding occupations amenable to remote work.

These six facts provide early, large-scale evidence consistent with the hypothesis that the AI revolution is beginning to have a significant and disproportionate impact on entry-level workers in the American labor market.

Read the paper here: https://digitaleconomy.stanford.edu/p...