The AI jobs apocalypse isn’t hitting everyone equally. New research from Stanford economists finds that workers aged 22 to 25 in AI-exposed occupations are bearing the brunt of disruption, with employment levels now 19 percent below their peers in less exposed fields. That’s a sharp jump from the 13 percent gap measured just a year earlier, suggesting the trend isn’t just persisting — it’s accelerating.
The findings come from the August 2026 update to “Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence,” which crunches anonymized payroll data from ADP. The researchers rated each occupation’s AI exposure using two different lenses: a labor market impact gauge from previous academic work, and the Anthropic Economic Index, which tracks how workers actually use Claude on the job. Google released a similar occupational usage report for Gemini last month.
Older workers, notably, appear largely unaffected so far. The divergence makes intuitive sense: entry-level roles tend to involve the kind of routine, well-defined tasks that today’s AI models handle most reliably, while senior positions lean on judgment, relationships, and institutional knowledge that remain harder to automate. But if the gap keeps widening at this pace, the pipeline problem becomes existential — where does the next generation of senior workers come from if the junior rungs disappear?
The 6-percentage-point jump in a single year is the detail that should worry people. Previous automation waves took decades to reshape labor markets. This one is moving fast enough to measure annually, and the canaries are starting to look less like early warnings and more like a trend line.
