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Guide · updated 3 October 2026

AI and entry-level jobs: what the data shows

Young workers in AI-exposed jobs are being hired less. What the research shows, what it doesn't, and how to get a first job anyway.

Key points

  • The clearest early sign of AI in the job market is fewer hires of young workers in AI-exposed jobs.
  • Stanford researchers find employment of 22- to 25-year-olds in the most exposed jobs is well below where it would have been.
  • The change is mostly fewer hires, not more layoffs. Experienced workers show no comparable gap.
  • The research cannot yet prove AI is the cause, and the authors say so.
  • Entry-level roles in exposed fields increasingly ask for judgment and leadership skills. Plan for that.

Why entry-level jobs are the place to watch

When a technology starts to change work, companies rarely fire experienced staff first. They quietly hire fewer new people. Junior roles are often built from the routine tasks that AI handles best: first drafts, basic research, simple code, data cleanup, standard customer questions.

So if AI is changing the job market, you would expect to see it first in hiring of young workers in exposed jobs. That is what researchers have been looking for.

The Stanford “canaries” study

The most-cited research comes from Erik Brynjolfsson, Bharat Chandar and Ruyu Chen at the Stanford Digital Economy Lab. They use payroll data from ADP, one of the largest payroll processors in the US, which covers millions of workers.

Their August 2026 update reports that employment of 22- to 25-year-olds in AI-exposed jobs “now stands 19% below where it would be had it kept pace with that of their less-exposed peers; experienced workers show no comparable gap.”

The full paper adds that employment of 22- to 25-year-olds in the two most exposed groups of jobs “fell about 11% between November 2022 and June 2026,” while young workers in the three least exposed groups “grew about 10%.” It finds the adjustment is happening “primarily through reduced hiring of young workers rather than increased separations.”

A note on the numbers

You may have seen a “13%” figure from this study. That came from the first version in 2025, which used a different method that adjusts for company-level changes. The authors explain in the 2026 paper that they “now emphasize the simpler descriptive divergence,” and that this measure “was 15% at the July 2025 data vintage and has since widened to 19% as of June 2026.” So the gap has grown, but 13% and 19% are not directly comparable.

What the study does not prove

The authors are careful. They write that “these patterns cannot be read as causal effects of AI.” They note the patterns “attenuate when controlling for education” and “show some divergent trends predating generative AI.” When they compare workers within the same companies, the estimate for the most exposed group “attenuates and is no longer statistically significant.”

In plain terms: young workers in AI-exposed jobs are clearly being hired less, but other things may be part of the reason.

Other evidence points the same way

Anthropic compared its AI usage data with job-finding rates. Its March 2026 study found “a 14% drop in the job finding rate compared to that in 2022 in the exposed occupations, although this is just barely statistically significant. (There is no such decrease for workers older than 25.)” It also found “no systematic increase in unemployment for highly exposed workers.”

Recent graduates are having a harder time in general. The Federal Reserve Bank of New York reports that “labor market conditions remained challenging for recent college graduates through the second quarter of 2026,” with unemployment “elevated at about 5.6 percent” and underemployment at “42 percent.”

The Burning Glass Institute‘s No Country for Young Grads (July 2025) found that “young graduates face unemployment rates that are rising faster than any other education or age cohort.” For 20- to 24-year-olds with a bachelor’s degree or more, unemployment “increased from 5.2% in 2018-19 to 6.2% in the two years through June 2025.”

Software shows a tilt toward senior hiring. Indeed Hiring Lab found that “71% of the increase in Software Development job postings between May 2025 and May 2026 came from senior roles.”

Entry-level jobs are changing shape

Fewer hires is not the only change. The entry-level jobs that remain in exposed fields are asking for more.

PwC’s 2026 AI Jobs Barometer found that in US job ads, the most AI-exposed entry-level jobs are “seven times more likely to require traditionally senior skills than the least AI-exposed ones,” such as leadership and strategic decision-making. Within the most AI-exposed quarter of jobs, postings for entry-level roles that added these skills rose 35% from 2019 to 2025, while postings for the rest fell 10%.

So the picture is mixed. Some AI-exposed entry-level roles are growing, but they expect more from day one.

What this means if you are starting out

Pick your field with eyes open

Look up the jobs you are considering. Check how much of the work AI can do now, and whether that work is the kind juniors usually do. Jobs where the junior tasks are mostly routine writing, research or data work are the most exposed.

Show judgment, not just output

If AI can produce the first draft, employers will hire the person who can tell a good draft from a bad one. In applications and interviews, talk about decisions you made, problems you diagnosed and things you caught that others missed.

Use AI openly and well

Show you can use the AI tools in your field to do more, faster, and that you check the results. That is now part of the entry-level skill set. See Which AI skills employers want.

Look for hands-on and people-facing starts

Apprenticeships, trades, health care and roles built around customers or patients have entry points that AI does not reach easily. See AI and trades careers and Jobs AI is least likely to replace.

Get real experience early

Internships, part-time work, volunteering and projects give you the judgment that employers now want from juniors. A portfolio of real work beats a list of courses.

What this means if you hire or manage juniors

If AI does the work juniors used to learn on, they need another way to learn. Pair them with experienced staff on real decisions. Give them review and checking work, not just production. A team that stops hiring juniors today may have no seniors in ten years.

How we track it

Each job page on NeedsAHuman shows the job’s AI coverage, its quality evidence and a replacement range. Where the data exists, the job market section includes an entry-level signal. We will update this guide as new research comes out.

Sources

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