On Thursday, June 11, talent-acquisition platform ICIMS released its June Workforce Report, built on data from more than 3 million platform users, with a thesis designed to be quoted: the tech layoff headlines are “masking” a surge in AI-driven hiring demand. Before anyone exhales — yes, a company that sells hiring software has concluded that the problem is hiring software-shaped. But the numbers underneath the pitch are worth reading, because they describe a labor market doing something genuinely strange.
The gap is the story
In May, U.S. job openings grew 9% year over year. Hires grew 1%. Applications fell 11%, a slide that started in February and hasn’t stopped.
Hold those three numbers together. Employers are posting more jobs than last year. They are filling barely any more of them. And fewer people are bothering to apply. ICIMS frames this as a skills mismatch — employers “struggle to find candidates with the skills they are looking for.” The less charitable reading, familiar to anyone who has applied to 200 openings this year, is that a posted job and an intent to hire are increasingly different products. An opening costs nothing. An offer costs a salary.
For context on what those headlines are supposedly masking: by mid-June, 2026 layoff trackers count 247 events affecting roughly 184,000 workers, with 55% of events explicitly citing AI or automation. That’s the backdrop against which openings are up 9% and hires are up 1%.
Where the demand actually went
The report’s most useful finding is geographic — not across states, but across industries. Tech hiring is up 8% in healthcare and 4% in manufacturing since May 2025, while Big Tech sheds headcount into its $700 billion infrastructure bill. ICIMS’s head of talent insights, Trent Cotton, calls it tech talent “moving from a handful of large providers into the broader economy” — hospitals modernizing patient data systems, factories wiring up automation.
The fastest-growing openings read like a 2019 job board come back from the dead: computer programmers (+35%), software developers (+28%), database administrators (+27%), IT managers (+22%), QA testers (+20%). Which is striking, given that junior developers are the demographic AI was supposed to have already digested. Openings for programmers up by a third, in the same year that 55% of layoff events cite AI — both facts are true, and neither cancels the other. The jobs are moving, not vanishing. They’re just moving somewhere with worse coffee and a badge reader at the hospital loading dock.
Four out of five applicants are under 35
One more number deserves attention: candidates aged 18–24 now account for 54% of all tech applications, and the 25–34 bracket adds another 25%. Four out of five tech applicants are early-career — the exact cohort that hiring managers keep saying they’d rather replace with AI. The funnel is stuffed with the people the market wants least, applying to openings that may or may not be real, while employers complain they can’t find skills.
On the frontline side, the same shape repeats harder: openings up 9%, hires flat, applications down 18%. Cotton’s advice to recruiters is to mine their “silver medalists” — past near-miss candidates — rather than wait for new applicants. Translation: the people have stopped coming, so reheat the leftovers.
The report’s optimism is real and self-interested at the same time. Demand genuinely exists — in healthcare, in manufacturing, in every sector wiring AI into operations. But a market where openings grow nine times faster than hires isn’t a hiring surge. It’s a waiting room.
