The numbers come first. Since ChatGPT’s release in late 2022, the bottom rung of the tech-industry career ladder has started to disappear for graduates in computer science and other AI-exposed majors.
Two Census Bureau papers point to the same pressure. An April 2026 paper tracking matched employer-employee records found that hiring of workers ages 22 to 24 fell sharply in the industries most exposed to AI, while hiring in less-exposed industries held steady. Employment for early-career workers in the most AI-exposed fifth of industries dropped 12% over the ten quarters after ChatGPT’s release.
Lee Tucker, one of the coauthors, said 'the decline in hires is the primary cause' of that unemployment rate, not people losing jobs they already had. That distinction matters. The disruption is hitting the entry point, not just later-career workers moving around inside the system.
The pain is concentrated in the fields that college was supposed to channel into stable white-collar work. Tucker found that the most AI-exposed industries cluster heavily around software and information-technology jobs, which is where computer science and similar majors are built to feed into.
A second paper, also coauthored by Tucker, followed graduates from the most AI-exposed decile of college majors. Their odds of holding a job one quarter after graduation fell by five percentage points, and full-quarter initial earnings dropped 13% after ChatGPT’s release. Economists said that is roughly the size of an earnings hit they would expect from graduating into a severe recession, except there was no recession and the broader labor market held up.
That means many young workers still have jobs, just not the jobs they trained for. About half of the earnings loss came from graduates making less within the industries that did hire them. The other half came from a shift into lower-wage sectors such as restaurants and retail.
In plain terms, the white-collar promise is being replaced by lower-value work. A computer science graduate who once would have walked into an entry-level software role is now more likely to end up ringing up groceries or bussing tables when the posting is gone.
The market adjusted fast. Hiring data showed the change within months of ChatGPT’s release, but students did not begin leaving computer science in visible numbers until much later. Undergraduate computer science enrollment fell 8.4% in spring 2026 from a year earlier, after a 3.6% drop the prior fall. Goldman Sachs said in June that computer science and computer programming enrollment each fell more than 10% in the 2025-26 academic year, and a Gallup and Lumina Foundation survey found about 42% of bachelor’s degree students had reconsidered their major because of AI.
The broader labor market still looks weak for new graduates. The Federal Reserve Bank of New York’s tracker put the underemployment rate for recent college graduates at 42% in the second quarter of 2026, with unemployment at 5.6%, above the national rate. A Strada Institute and Burning Glass Institute analysis found 52% of graduates were working in jobs that do not require a degree within a year of leaving school, and 45% were still there a decade later.
The free-enterprise lesson is blunt. When technology rewrites the entry-level market, the cost shows up first in earnings, then in wasted schooling, and eventually in a labor force pushed into lower-productivity work. Capital rewards clear rules and real demand; it does not reward degrees that no longer match the jobs on offer.
For families, that is a hard reset. For policymakers, it is a warning that the administrative state cannot promise outcomes the market no longer supports. The sooner universities, employers and students adapt, the less of the workforce will be stranded on the wrong side of the AI transition.
