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Companies have linked nearly 50,000 layoffs to AI in 2026, but economists warn the bigger story is a collapse in entry-level hiring that isn't showing up in standard layoff data.
April 2026 job openings hit a 12-month peak, yet application volume fell 10%. New ICIMS data shows 78% of Gen Z job seekers believe AI is changing available roles — and only 19% feel confident about their career trajectory.
Unemployment for workers aged 22-27 has risen to 5.4% as AI cuts early-career knowledge work—while Ford, AT&T, and others ramp up hiring for skilled trades.
37% of business leaders plan to replace human employees with AI by end of 2026, largely by not replacing departing workers — a silent downsizing that labor statistics are not yet capturing.
Yale SOM researchers find AI's most damaging near-term labor impact is not mass layoffs but a silent contraction in entry-level hiring — companies let AI handle junior tasks and simply don't backfill the headcount.
New Gallup data finds 18% of U.S. workers believe their job could be eliminated by AI within five years — and the number is higher, not lower, among workers whose companies have already deployed AI tools.
Goldman Sachs projects AI will displace 6–7% of the U.S. workforce over 10 years — roughly 10 million workers — with white-collar earners under $80,000 most exposed.
UNICEF Innocenti research finds women hold 86% of jobs most exposed to AI-driven displacement — concentrated in administrative, clerical, and customer-service roles that prior automation waves left untouched.
Yale's Budget Lab analyzed March 2026 CPS data and found no measurable economy-wide labor disruption from AI — raising sharp questions about whether companies citing AI for layoffs are engaging in AI-washing.
A new Gallup survey finds 18% of US workers believe AI will eliminate their job within five years — rising to 23% at organizations that have already deployed AI tools.
The U.S. tech industry eliminated ~80,000 jobs in Q1 2026, with 47.9% formally attributed to AI — the first quarter AI is the plurality cause of tech-sector layoffs.
Anthropic's new labor market research finds AI is augmenting most roles rather than eliminating them — but with sharp task-level variation that existing economic models miss.
Goldman Sachs calculates AI is eliminating 16,000 U.S. jobs per month, with Gen Z workers bearing the brunt as AI automates the entry-level white-collar roles they depend on.
Goldman Sachs found AI directly responsible for 16,000 U.S. job eliminations per month, with Gen Z workers concentrated in the white-collar roles hit hardest.
AI is eliminating roughly 16,000 U.S. jobs every month, and Generation Z workers are absorbing a disproportionate share of that displacement — because they are concentrated in exactly the roles AI automates first.
Goldman Sachs research finds AI is now eliminating 16,000 U.S. jobs per month, with Gen Z workers bearing disproportionate impact due to their concentration in entry-level white-collar roles that AI automates most effectively.