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Special Edition!! A new Stanford Digital Economy Lab working paper finds evidence that workers ages 22 to 25 in the most AI-exposed occupations have experienced a 16 percent relative decline in employment to widespread generative-AI adoption. #68.5
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TopCat AI Signal Report Special Edition #68.5
For years, people have asked one big question about AI:
“Will it take jobs?”
But that question may be too broad.
The more urgent question may be:
“Will there still be a path into work?”
The Stanford research does not show a uniform collapse in employment. It shows a more specific and more troubling pattern: early-career workers in the most AI-exposed occupations are seeing weaker employment outcomes, while more experienced workers in similar fields are not seeing the same pattern.[digitaleconomy.stanford]
Why does that matter?
Because entry-level work has never only been about entry-level work.
It has been where people learn the business.
It is where people make mistakes under supervision.
It is where they develop judgment.
It is where they discover how real customers behave.
It is where they begin to build confidence, relationships, habits, and professional identity.
If AI takes on the basic tasks that once taught people how the work gets done, then businesses need a new way to develop the next generation of talent.
That is not only an employment issue.
It is a leadership issue.