AI may have lowered employment for college graduates in exposed majors, study says
A new study of Texas public‑university students and graduates finds that after the 2022 release of ChatGPT, recent graduates from majors whose occupations are more exposed to generative AI saw a 1.7‑percentage‑point relative decline in the probability of finding a job in Texas within a year, compared with less‑exposed majors. Among those who did find work, first‑year wages were about 5 % lower…
Key points
- Recent grads from AI‑exposed majors saw a 1.7‑point relative drop in Texas employment within a year after ChatGPT’s release.
- First‑year earnings for those graduates fell about 5 % relative to less‑exposed majors.
- Graduate enrollment rose 1.4 points for exposed majors, while undergraduate enrollment in those fields fell 4.8 % from fall 2024 to fall 2025.
The researchers built an exposure metric using Anthropic’s Claude task‑mapping and Lightcast job‑posting data, then linked it to administrative records from the Texas Higher Education Coordinating Board and the Texas Workforce Commission. The same exposure also made four‑year graduates 1.4 percentage points more likely to enroll in graduate school within a year, though most stayed in the same discipline. Undergraduate enrollment in highly exposed majors fell 4.8 % between fall 2024 and fall 2025. The authors caution that the findings indicate a correlation, not a definitive causal claim, and note that the long‑term returns to further education in AI‑exposed fields remain uncertain.
AI plays a role in weak labor market for college graduates
dallasfed.org · 21 September 2026
Loading the full article…
This text was published by dallasfed.org. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Research
All →- Opinion: Reproducibility challenges rise with large language models · 1 src
- Anthropic reports Claude leads 26% of its AI research and development tasks · 4 src
- Opinion: big tech’s AI cancer‑cure promises outpace proven progress · 1 src
- Researchers create Spi-Fly spiking network that learns odors from few examples · 1 src
- Researchers say AI may not benefit animals with ‘talking’ to them · 1 src
Comments
via GitHub Discussions