Youth Jobs Are Struggling — But AI Might Not Be the Reason (EIG Study)
Recent college grads are struggling to find work. Stanford says AI is to blame. But new data from EIG shows non-degree young workers are hurting just as badly — and AI-exposed jobs barely employ young people at all.
If you have graduated from college in the past two years, you have probably felt it: the job market is brutal for young workers right now. Headlines blame AI, and the data looks damning — a 6% employment drop for 22-to-25-year-olds in AI-exposed occupations since late 2022, according to Stanford and ADP research. [Claim]
But what if the real story is not about AI at all?
A new analysis from the Economic Innovation Group, published March 5 2026, argues that the evidence does not support the "AI is killing young workers' jobs" narrative — and the data they present is hard to dismiss. [Fact]
The Case Against Young Workers
The "AI is hurting young workers" argument rests on several compelling studies.
Stanford's Digital Economy Lab, using ADP payroll data covering 25 million U.S. workers, found that employment among 22-to-25-year-olds in highly AI-exposed occupations fell by 6% between late 2022 and July 2025. In the same occupations, workers aged 30 and older saw employment grow by 6-13%. That is a stark divergence. [Fact] Stanford/ADP, "Canaries in the Coal Mine," August 2025
The Dallas Federal Reserve corroborated this pattern. Their January 2026 analysis found that the share of U.S. employment in AI-highly-exposed occupations dropped from 16.4% to 15.5% of total employment, with the decline concentrating among younger workers. [Fact] Their February 2026 report noted AI is "simultaneously aiding and replacing workers" along experience lines — with wages in computer systems design rising 16.7% since fall 2022 even as employment growth lagged. [Fact] Dallas Fed, February 2026
The picture seemed clear: AI is raising the bar for entry-level workers while making experienced professionals more productive.
EIG's Counterargument: It Is Not Just College Grads
Adam Ozimek and Nathan Goldschlag at EIG challenge this narrative by zooming out. Their key insight: non-college-educated young adults are struggling just as much as recent graduates — and in some measures, worse. [Fact] EIG, "AI and Young-Adult Jobs: The Real Mystery," March 2026
Yes, unemployment among recent college graduates has risen more than the overall rate. But labor force participation among non-college young adults aged 22-25 has also fallen disproportionately over the past year. These are young people who stopped looking for work entirely — and they disappear from the unemployment statistics, making the "college-grad crisis" look more AI-specific than it actually is. [Fact]
EIG makes a crucial methodological point: unemployment rate alone is misleading because it misses discouraged workers. Labor force participation rate misses employed-to-unemployed transitions. The better metric is the employment rate — what percentage of all 22-to-25-year-olds are actually working, regardless of whether they are actively job-seeking. [Claim]
When measured this way, employment rates have declined for young adults both with and without degrees. The weakness is age-based, not education-based. [Fact]
The "AI Jobs" Are Barely Youth Jobs
Here is perhaps the most striking data point in EIG's analysis. The occupations most often cited as AI-threatened barely employ young workers in the first place.
Customer service representatives working in call centers (Census code OCC 5240) represent just 2.7% of employed 22-to-25-year-olds. Data entry keyers (OCC 5810) account for a mere 0.2%. [Fact] EIG, March 2026
Think about what that means. Even if AI completely eliminated every single call center and data entry position held by a young worker — an extreme and unrealistic scenario — it would explain only a tiny fraction of the broader youth employment decline. The math simply does not add up for AI to be the primary driver. [Estimate]
College enrollment for this age group has also remained stable with only small fluctuations over three years, ruling out the "they are going back to school" explanation. [Fact]
So What IS Happening to Young Workers?
This is what EIG calls "the real mystery." If it is not AI specifically and it is not education-level-specific, why are young workers across the board lagging behind the rest of the labor market?
Several non-AI factors are plausible candidates. The post-pandemic labor market normalization disproportionately affected sectors that had over-hired in 2021-2022. The Federal Reserve's interest rate tightening cycle — which began in March 2022, before ChatGPT launched — hit growth-stage companies hardest, and those companies tend to hire the most junior workers. [Claim]
EIG had flagged this timing issue in an earlier January 2026 analysis, showing that job postings in AI-exposed occupations peaked in March-April 2022 and began declining before ChatGPT even existed. [Fact] EIG, January 2026
None of this means AI has zero effect on youth employment. The Stanford/ADP data showing a gap between young and older workers within the same occupations is still significant — something is treating young workers differently, and AI tools that substitute for junior-level tasks are a plausible part of the explanation. But EIG's analysis shows the effect is likely much smaller than headlines suggest, and possibly drowned out by larger macroeconomic forces. [Estimate]
What This Means for Your Career
If you are a young worker reading this, the nuance matters. The "AI is coming for your job" panic may be overblown — but the youth employment weakness is real regardless of its cause.
The practical takeaway is the same either way: adaptability matters more than ever. Whether the headwinds are from AI, interest rates, or both, young workers who can demonstrate value beyond routine tasks — the kind AI handles well — will navigate this market better.
If you are in a role like customer service or data entry, the risk from AI is genuine even if it is not driving the macro trend. But if you are a software developer or financial analyst worrying that AI has specifically targeted your generation, the evidence is more ambiguous than the headlines suggest.
Explore how AI affects these occupations: Customer Service Representatives, Data Entry Keyers, Software Developers, Telemarketers.
Sources
- Ozimek, A. & Goldschlag, N. (2026, March 5). AI and Young-Adult Jobs: The Real Mystery. Economic Innovation Group. eig.org
- Ozimek, A. & Goldschlag, N. (2026, March 5). AI and Young-Adult Jobs: The Real Mystery (Agglomerations blog). agglomerations.eig.org
- Ozimek, A. (2026, January). AI and Jobs: The Final Word? Economic Innovation Group. eig.org
- Brynjolfsson, E., Chandar, B. & Chen, R. (2025, August). Canaries in the Coal Mine. Stanford Digital Economy Lab. stanford.edu
- Dallas Federal Reserve. (2026, February 24). AI's Dual Impact on Workers: Aiding and Replacing. dallasfed.org
- Dallas Federal Reserve. (2026, January 6). Young workers' employment drops in occupations with high AI exposure. dallasfed.org
Update History
- 2026-03-28: Initial publication based on EIG analysis (March 2026), cross-referenced with Stanford/ADP and Dallas Fed research
This article was researched and written with AI assistance using Claude (Anthropic). Analysis synthesizes findings from the Economic Innovation Group, Stanford Digital Economy Lab, ADP Research Institute, and the Dallas Federal Reserve. This is AI-generated analysis of publicly available research and should not be taken as professional career or employment advice. We encourage readers to consult the original sources linked throughout this article.