Entry-Level Hiring Fell Faster Than The Rest Of The Job Market. AI Isn't The Main Reason.
Co-Founder and Chief Data Scientist
Entry-level job postings on Indeed were down 6.3 percent as of May 2026 compared with January 2025, while postings for senior-level roles rose 13.5 percent over the same period, according to the Indeed Hiring Lab's July 2026 analysis of its own posting data. Entry-level postings have been declining since they peaked in 2022, falling 7.5 percent year over year as of May 2026. The seniority tilt is real and well documented. Whether artificial intelligence is what's causing it is a separate question, and the strongest available evidence says AI explains part of the story, not most of it.
The clearest evidence that AI is playing some role comes from a Stanford Digital Economy Lab study using payroll records from ADP covering millions of U.S. workers. Economists Erik Brynjolfsson, Bharat Chandar and Ruyu Chen found that employment among workers ages 22 to 25 in the most AI-exposed occupations sat about 19 percent below where it would be had it kept pace with employment among similarly aged workers in less-exposed jobs, as of the study's June 2026 update, up from a 15 percent gap in the July 2025 data. The decline shows up mainly through reduced hiring rather than layoffs, and is concentrated in occupations, like software development and customer service, where generative AI tools automate rather than merely assist human tasks.
The Same Slowdown Shows Up In Jobs AI Barely Touches
That finding is real, but it isn't the whole labor market. Indeed's own economists, in the company's 2026 U.S. Jobs & Hiring Trends report published in November 2025, argued explicitly that "the challenge for new graduates isn't that junior roles are being uniquely squeezed out, but that the entire job market is contracting, leaving fewer opportunities across the board." Federal Reserve Chair Jerome Powell described the same pattern in September 2025 as a "low-hire, low-fire" labor market, one in which overall hiring has slowed sharply even though layoffs remain low, making it disproportionately hard for anyone trying to get a first job rather than keep an existing one. The Fed cut interest rates that same month partly in response to the cooling job growth.
Economists Point To A Broader Mechanism
Goldman Sachs economists analyzing the decline in overall labor market churn found that it is driven overwhelmingly by a collapse in short-tenure separations, jobs that end within a person's first one or two quarters, which account for 84 percent of the drop in total job separations in the U.S. since 2019, a trend line that predates ChatGPT's public release by three years. Their explanation isn't AI replacing junior staff; it's that employers and workers have gotten better at avoiding bad matches in the first place, aided by tools like Glassdoor, LinkedIn and Indeed that let both sides screen more carefully before committing. Fewer bad hires means less replacement hiring, which mechanically lowers the overall hiring rate across every seniority level, entry included.
What Executives Say About AI's Actual Impact So Far
Executive self-reporting adds another complication for the AI-driven narrative. A National Bureau of Economic Research working paper published in February 2026, surveying nearly 6,000 CEOs, CFOs and senior executives across the U.S., U.K., Germany and Australia, found that 89 percent reported no measurable productivity impact from AI use over the prior three years. That doesn't rule out AI as a factor in hiring decisions specifically, since executives may be cutting or freezing junior headcount in anticipation of future AI capability rather than reporting today's productivity gains. But it complicates any claim that AI has already delivered enough measurable value to explain a broad-based pullback in entry-level hiring today.
Reconciling The Two Stories
The honest read of the evidence is that both things are true at once, at different scales. In a specific, narrow slice of the labor market, mainly coding and other highly codifiable, AI-exposed roles, the Stanford data show a real and widening gap in hiring for young workers that has grown steadily since 2022. Across the much larger labor market as a whole, including occupations AI barely touches, entry-level hiring has also fallen, and that broader decline lines up more closely with a slow-growth, low-churn economy and more selective hiring generally than with any specific technology. A new graduate struggling to find work in marketing or retail management is facing the second story far more than the first.
