The AI Economy Has a Gen-Z Problem

Somewhere right now, a 23-year-old is refreshing their email for the four-hundredth time. Good degree. Solid GPA. Three internships. And nothing. This video traces the real, measured, and genuinely contested evidence behind one of 2026's strangest labor-market stories: a widening employment gap between young workers in AI-exposed jobs and everyone else, that did not exist before generative AI -- and a real disagreement among serious economists over how much of it AI actually causes. We cover the numbers: a Stanford Digital Economy Lab study finding an 11-19% (and widening) employment gap for 22-25 year-olds in AI-exposed occupations since ChatGPT launched; Goldman Sachs' estimate that AI is now a net drag of about 16,000 US jobs a month; real, named companies (Salesforce, Klarna, Shopify, ServiceNow) making very different choices about entry-level hiring right now; the historical precedent of telephone operators automated out of existence a century ago and the "lost generation" earnings scarring from the 2008 financial crisis; and the strongest counterargument -- the Economic Policy Institute's case that this is a broad hiring slowdown, not an AI-specific one. CHAPTERS 0:00 One in Three 1:13 The Numbers Underneath the Headline 3:06 The Job AI Actually Wants Is Yours 5:14 This Is Already Happening at Real Companies 6:43 We've Automated Away the Entry Rung Before 8:21 Why Companies Aren't Fighting This 9:38 This Is Already Showing Up in People's Actual Lives 11:00 Or Maybe It's Not AI at All 12:16 Somebody Has to Train the Next Generation Sources for every figure cited in this video are listed in the pinned comment and in our sources document. #AI #GenZ #JobMarket #Unemployment #Economy #CareerAdvice