Entry-level workers facing steepest job losses from AI, Stanford research shows

Concerns about artificial intelligence displacing workers have circulated for years, but new evidence from Stanford University economists points to a troubling pattern: the technology appears to be hitting entry-level positions hardest, particularly for younger workers in certain fields.

Updated findings show widening gap#

The Stanford team released an updated version of their study Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence in August 2026, drawing on fresh payroll data to reassess job market impacts. The research reveals a significant divergence: workers aged 22 to 25 in occupations most vulnerable to AI disruption now face employment levels 19 percent below their counterparts in less AI-exposed fields. This gap has widened from 13 percent just a year earlier, signaling an acceleration of displacement among early-career workers.

How researchers measured AI exposure#

To classify occupations by AI vulnerability, Stanford economists tapped anonymized payroll records aggregated by HR management firm ADP. They then cross-referenced these job categories against two distinct metrics: a previously developed labor market impact index that models potential AI displacement risk, and Anthropic's Economic Index, which tracks actual usage of the Claude AI model across different professions. This dual approach—pairing theoretical vulnerability with real-world adoption data—provides a more nuanced picture of where AI is already reshaping employment patterns. Similar analyses from Google, based on how workers employ the Gemini model, have offered parallel insights into occupational AI integration.