US job openings jumped to 7.6 million in April, the highest since May 2024, while actual hires fell to 5.1 million, the Bureau of Labor Statistics reported in its Job Openings and Labour Turnover Survey1. The survey, known as JOLTS, tracks how many posts employers advertise against how many they actually fill. Posts sitting open and unfilled are what a skills mismatch looks like when employers rewrite what they want faster than the labour pool can follow.
LinkedIn's 2026 workplace learning data shows the share of firms offering AI upskilling fell from 35% to 26% year-on-year2, so the training that would close that mismatch is shrinking just as the gap widens. Companies are pushing workers to adapt to AI while cutting the instruction that would let them, even as capital pours into data centres. Cut staff for AI, spend on AI, teach the remaining workers less about it.
Fed Governor Lisa Cook named the displacement risk directly in late May, citing widening software-sector bond spreads. Bond spreads widen when investors demand more to lend to a sector they judge riskier, so a central banker pointing at software borrowing costs is reading the same signal the openings data shows: the corner of the economy most exposed to AI is the one where hiring has stalled and credit has tightened first.
