Why Entry-Level Hiring Is Down 80% at Companies Adopting AI
Entry-level hiring has dropped by roughly 80% per quarter since 2023 at companies that have adopted generative AI, according to a new working paper from Harvard University. This sharp decline means fewer jobs for new graduates and early-career workers, especially in fields like software development and customer service. The research, led by Harvard economists Seyed Hosseini and Guy Lichtinger, analyzed data from 66 million workers across 280,000 U.S. firms between 2015 and 2025. They call this trend "seniority-biased technological change," where AI benefits senior workers while reducing opportunities for junior talent.
How AI Is Reducing Demand for Entry-Level Workers
In many white-collar jobs, entry-level workers spend their early years handling routine tasks like debugging code, reviewing legal documents, drafting emails, and entering data. Generative AI excels at these exact tasks. At companies that actively integrated AI, entry-level employment fell about 9% within six quarters of adoption compared to firms that didn't. Meanwhile, senior employment at those same companies continued to grow.
Why Routine Work Is Disappearing
Generative AI is particularly good at codified, checkable tasks—the kind learned from textbooks and training data rather than hands-on experience. These tasks define early careers, so companies building AI into daily workflows simply need fewer entry-level workers.
Companies Cut Hiring Based on Future AI Expectations
The 80% decline in entry-level hiring didn't happen because AI had already replaced those workers. It happened because companies expected it would. After ChatGPT launched in late 2022, mentions of AI in U.S. earnings calls tripled by mid-2023. Companies began pulling back on entry-level hiring almost immediately, adjusting for automation they anticipated rather than automation that had already arrived.
This decline is driven by slower hiring, not mass layoffs. Separation rates for entry-level workers actually fell at AI-adopting firms. Workers who left simply weren't replaced. If companies overestimate how quickly AI will automate entry-level work, some of these cuts may prove premature.
Entry-Level Hiring Shifts Toward Experienced Candidates
At AI-adopting firms, senior employment continued to grow while entry-level hiring contracted. Within those firms, entry-level workers in occupations most exposed to AI saw a 7% relative decline compared to less exposed roles. Senior workers in those same occupations saw no comparable drop.
A Stanford analysis of ADP payroll records found a 16% decline in employment among early-career workers in the most AI-exposed occupations since late 2022. The biggest drops were in software development and customer service—two fields that have historically been reliable on-ramps to white-collar careers.
Companies Value Experience More Than Ever
Generative AI makes senior workers more productive while reducing the need for routine work that entry-level workers typically perform. Companies aren't just hiring fewer entry-level candidates—they're concentrating demand at the top of the experience ladder.
AI Is Redesigning Entry-Level Jobs
The shift isn't only about headcount. At AI-adopting firms, tasks most exposed to generative AI are being removed from entry-level job postings. Data from the Anthropic Economic Index shows that AI replaces work outright in more than 50% of interactions in entry-level occupations, compared to 40% for senior roles.
The work that traditionally defined entry-level roles isn't just being automated—it's disappearing from job descriptions. You might expect companies to backfill that lost work by moving entry-level workers into more complex responsibilities. But Hosseini and Lichtinger found no evidence of that. Companies aren't handing entry-level workers more sophisticated work as AI absorbs routine tasks—they're simply eliminating the roles.
The Training Pipeline Problem
Entry-level jobs have always been about more than filling roles. They're how companies develop the senior talent they'll need years from now. When companies stop hiring entry-level workers, they weaken the pipeline that produces experienced candidates tomorrow.
Some companies recognize this risk. Eighty-eight percent of chief human resources officers say AI is making early-career talent role-ready faster, according to a survey by SAP and Wakefield Research. That's an argument for redesigning entry-level roles around AI, not eliminating them. Companies that figure out how to bring entry-level workers in and develop them alongside AI tools will have a meaningful advantage over those that simply stop hiring.
What This Means for Your Talent Strategy
The case for entry-level hiring isn't just about fairness to new graduates—it's about organizational continuity. Senior workers don't appear from nowhere. They develop through the entry-level roles companies are now cutting. The skills they build early in their careers compound over time in ways AI can't easily replicate.
The timing compounds the risk. Companies making hiring cuts today are doing so when AI tools are still developing, and the automation gains they're anticipating haven't fully materialized. If the early evidence holds, the costs will fall unevenly on workers who never got the chance to start—and on organizations that later find themselves without experienced talent.
Hosseini and Lichtinger are careful not to overstate their conclusions. The data covers a relatively short window, and longer-term adjustments could still change the picture. But the early evidence is difficult to ignore. Generative AI adoption, they write, "may be shifting work away from entry-level tasks, potentially narrowing the bottom rungs of internal career ladders." For companies still treating entry-level hiring as optional, that's the risk worth addressing now rather than later.
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