New evidence suggests artificial intelligence is beginning to reshape the value of certain college degrees at precisely the point graduates enter the workforce. Researchers examining administrative employment records found that graduates from the 10 percent of majors most exposed to AI experienced a five-percentage-point decline in the likelihood of initial employment and a 13 percent reduction in full-quarter starting earnings following the arrival of widely available generative AI in late 2022. Roughly half of the earnings decline resulted from weaker pay within industries traditionally employing these graduates, while the remainder reflected graduates moving into lower-paying sectors such as retail and restaurants. Although the effects diminish as workers gain experience, they remain significant for highly exposed majors. Other research complicates the picture, finding that the broader labor market has not yet experienced uniform AI-driven employment losses. The emerging evidence nevertheless raises a serious question for higher education: whether families should continue paying increasingly expensive tuition for degrees whose entry-level economic value can be rapidly undermined by technological change.
Key Takeaways
- Graduates from the most AI-exposed 10 percent of college majors experienced a five-percentage-point reduction in initial employment probability and a 13 percent decline in full-quarter initial earnings after generative AI entered widespread use.
- The disruption appears particularly concentrated among young people entering the workforce, with separate research finding employment among early-career workers in the most AI-exposed industries declined 12 percent over the 10 quarters following ChatGPT’s introduction.
- The evidence does not establish that AI is universally destroying graduate employment. Broader labor-market studies remain mixed, but the increasingly visible pressure on entry-level positions challenges colleges, students, and families to reconsider how degrees should prepare graduates for an AI-intensive economy.
In-Depth
Artificial intelligence may be exposing a weakness in America’s higher-education model: students can spend four years and substantial sums preparing for occupations whose entry-level tasks are increasingly performed by machines.
New administrative research examining college graduates found a striking divergence after generative AI became widely available in late 2022. Graduates from the most AI-exposed tenth of majors experienced a five-percentage-point decline in initial employment probability and a 13 percent reduction in full-quarter initial earnings. Researchers characterized the earnings damage as comparable to entering the workforce during a major recession.
The consequences extend beyond graduates simply earning less in their intended professions. Roughly half of the earnings reduction came from lower pay within industries employing these graduates. The remainder resulted from workers migrating toward lower-wage sectors, including retail and restaurants. That suggests technological disruption can affect both whether graduates obtain professional employment and where they ultimately work.
Separate research found early-career employment in highly AI-exposed industries declined 12 percent during the 10 quarters following ChatGPT’s introduction. Still, caution is warranted. Other analyses find young college graduates have not suffered employment deterioration dramatically different from young workers without degrees, leaving debate over how much weakness can specifically be attributed to AI.
What is becoming harder to dismiss, however, is the changing economics of higher education. Colleges can no longer assume that yesterday’s professional skills will command tomorrow’s wages. Students increasingly need programs emphasizing adaptable skills, technical fluency, judgment, and capabilities that complement automation rather than compete directly against it.
Sources
- https://www.census.gov/library/working-papers/2026/adrm/CES-WP-26-56.html
- https://lehd.ces.census.gov/applications/creat/viewbykeyword?keywords=704
- https://www.epi.org/blog/class-of-2026-what-occupation-data-show-about-ai-and-the-young-college-graduate-workforce/
- https://eig.org/how-students-and-recent-grads-are-responding-to-the-rise-of-ai/