April 3, 2026: Two major academic papers dropped today alongside fresh labor market data, and together they paint the clearest picture yet of what AI will actually do to the economy and to work. Stanford economists show that 87% of U.S. productivity growth since 1950 came from automation — and explain why AI's impact will be real but slower than the hype due to "weak links" in production. A Chicago Fed forecasting paper reveals that even expert economists admit the range of outcomes is genuinely wide. On top of that: AI is now the #1 cited reason for tech layoffs, a new Forrester study finds most workers still don't know how to use the AI tools their companies deployed, Jack Dorsey argues AI should replace middle management entirely, a startup built an AI coworker that monitors your work and reports to your boss, and OpenAI just bought a media company to control the narrative. Seven stories, one through line: the disruption is real, the timeline is uncertain, and the window to prepare is open right now.

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April 2, 2026: A landmark MIT study out today challenges the AI job apocalypse — and the data lands somewhere more optimistic than the headlines suggest. Then: the "AI washing" debate exposes a harder truth — with Gallup data showing only 21% of employees are engaged globally and $438 billion in annual productivity losses, most large companies were already carrying 10 to 20% more workforce than they needed long before AI arrived. The Wall Street Journal profiles the real people filling 640,000 new AI-created jobs — from a 25-year-old Head of Human AI Solutions to a pathologist earning $75K on the side training medical AI. And CHRO pay at S&P 500 companies just surged 30% — what boards are really pricing in when they write those checks.

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