issue-briefing

The AI Job Threat Started with the 'Door That Closes First': Data-Identified Occupations Most Vulnerable to Shaking

In May 2026, U.S. layoffs reached their highest level since the pandemic at 97,000, with about 40% citing AI as the primary reason (surging from 7% in January to 40% in May), although prudent voices suggest AI may sometimes be used as a convenient excuse. The first sign of the AI shock is not mass layoffs, but rather barriers to entry for youth; employment rates for 22- to 25-year-olds in high AI-exposure jobs in the U.S. fell by about 14% compared to 2022. Clerical and administrative jobs are being most directly shaken: about 86% of the roughly 6.1 million high-exposure, low-adaptability workers in the U.S. are women, and similar signals are being captured in Europe (such as Ireland at 7% and Meta cutting 8,000 jobs). In South Korea, youth jobs shrank by 211,000 over the past three years (208,000 of which were in high AI-exposure industries) while jobs for those in their 50s increased by 209,000, leading the Bank of Korea to diagnose this as 'seniority-biased technological change'—matching the direction seen in the U.S. However, the WEF projects 92 million jobs replaced and 170 million created by 2030 (a net increase of 78 million), indicating that the core question is not whether jobs will disappear, but who will adapt first and how.