A Stanford economist just showed exactly which rung AI deleted first — and it wasn't the one most people assumed

Erik Brynjolfsson runs Stanford's Digital Economy Lab. He's also the guy whose own graduating class asked him, point-blank, if their generation was doomed. He didn't talk her out of the question. He answered it with data. There's a specific relief that shows up whenever someone with real research behind them stops soft-pedaling a fear like this — not because the answer is comforting, but because being taken seriously is its own kind of comfort. 🎓 Here's the mechanism, stripped of the hedging: the classic corporate pyramid — wide base of entry-level hires, narrowing up through management — is quietly becoming a diamond. The base is disappearing. Companies save short-run cost by not backfilling entry-level roles, and Brynjolfsson's own research backs it with numbers: rank ~700 occupations by AI exposure, and in the top 150 most-exposed roles, entry-level (age 22–26) employment has fallen 13% and climbed to 16–17% since, month over month. That's not a vague "AI is coming" headline. That's a measured, worsening trend inside a specific, named cohort. This reminded me of the execution-layer/judgment-layer split — the exact same shape of the rung disappearing, just described from inside a different industry entirely. The reframe Brynjolfsson gives his own students is the actual usable part: stop hearing "AI" as artificial intelligence, start hearing it as amplifying intention. The tool doesn't wait for the org chart to assign you a role anymore — it multiplies whatever you're already pointed at. Waiting to be told what your job is was always the risk. Building something the missing rung can't take with it isn't. Clip credit: McKinsey & Company — full video on their channel. DM for credit or removal requests. Drop your take — does "amplifying intention" land for you, or is the missing entry rung the bigger problem?