April 10, 2026: Andreessen Horowitz just released hard data showing nearly a third of the Fortune 500 has live AI deployments — and the pattern underneath reveals exactly which jobs and functions are next in line. Then: Gallup says global employee engagement just hit a five-year low, and I'm going to argue that metric is fundamentally broken and why your board should stop asking for it. Plus, Microsoft Research coins a term you'll be using by tomorrow — "workslop" — and reveals the hidden social penalty employees face for using AI openly. McKinsey adds a critical wrinkle: your most AI-fluent employees are your biggest flight risk. And a new Wharton study finds that 80% of people follow wrong AI answers with complete confidence — and feel better about themselves while doing it.

April 9, 2026: Meta had a big week. The company launched Muse Spark, its first model from a completely rebuilt AI team, framing it as the opening move toward personal superintelligence. And internally, employees were competing on a secret leaderboard tracking exactly how many AI tokens each of the company's 85,000 workers consumed — with titles like "Token Legend" awarded to the top users. Their CEO didn't crack the top 250. We break down what both stories mean for the future of work, plus why Lowe's just committed $250 million to skilled trades training and why OpenAI and Anthropic are building AI models too dangerous to release to the public.

April 8, 2026: A major new survey finds that 44% of Gen Z workers admit to actively sabotaging their company's AI rollout — and the real story isn't what you think. Second, Anthropic just announced Project Glasswing, a landmark cybersecurity initiative built around an unreleased AI model that autonomously found vulnerabilities hiding in critical software for up to 27 years — flaws that thousands of expert researchers missed entirely. And third, a New York Times investigation reveals Google's AI Overviews are wrong one in ten times — which sounds small until you do the math at five trillion searches a year. Jacob breaks down what each of these stories really means for the future of work, and why the most important insights are the ones the headlines are missing.