# Stanford Study: AI Job Gap for Young Workers Widens to 19%

> A new analysis from Stanford's Digital Economy Lab finds that the clearest labor market mark left by AI so far is not mass layoffs but a hiring squeeze on the young. Employment for workers aged 22 to 25 in the most AI exposed roles now sits about 19 percent below its baseline, up from a 15 percent gap a year earlier. Entry level job postings in those areas fell roughly 15 percent year over year. The mechanism matters as much as the number. The researchers stress that companies are not firing people in droves. They are quietly hiring fewer newcomers, letting attrition and a slower intake do the adjusting. That is a subtler and harder to see form of displacement, one that shows up as a door that never opens rather than a pink slip. If the pattern holds, the burden of the AI transition may land first on people trying to start careers, widening a skills gap between entry level work that is being automated and the more experienced roles that are not. It is a quiet trend with loud long term implications.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Stanford Digital Economy Lab · Published Friday, August 14, 2026_

## Wortins' read

A new analysis from Stanford's Digital Economy Lab finds that the clearest labor market mark left by AI so far is not mass layoffs but a hiring squeeze on the young. Employment for workers aged 22 to 25 in the most AI exposed roles now sits about 19 percent below its baseline, up from a 15 percent gap a year earlier. Entry level job postings in those areas fell roughly 15 percent year over year. The mechanism matters as much as the number. The researchers stress that companies are not firing people in droves. They are quietly hiring fewer newcomers, letting attrition and a slower intake do the adjusting. That is a subtler and harder to see form of displacement, one that shows up as a door that never opens rather than a pink slip. If the pattern holds, the burden of the AI transition may land first on people trying to start careers, widening a skills gap between entry level work that is being automated and the more experienced roles that are not. It is a quiet trend with loud long term implications.

## Source

[Read the full story at Stanford Digital Economy Lab](https://digitaleconomy.stanford.edu/news/canariesaug26/)

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