The system and the surrender (plz fix!)

A Wharton study of 1,372 people identified 'cognitive surrender': when AI produces an answer, people stop questioning it while recoding it as their own judgment. Accuracy drops from 45.8% alone to 31.5% with incorrect AI. The better the system gets, the harder it becomes to stay vigilant inside it. What happened this week: * Three CEOs (Coca-Cola Quincey, Walmart McMillon, Adobe Narayen) stepped down in one quarter citing AI transformation pressure; 38 years of tenure in one turnover, most since 1999 * Anthropic 5th Economic Index + HBR 2,500-employee study: experienced users (6+ months) treat AI as thinking partner, not productivity shortcut. AI may be skill-biased tech that compounds existing a... * Ethan Mollick: companies with zero AI failures aren't being ambitious enough. R&D-style experimental budgets need to reach HR, operations, finance What to try: * Don't fact-check AI in the same conversation: model defends its own chain. Start fresh, upload source materials cold for critique * Give your AI reviewer a persona with skin in the game: six senior-partner personas converged on the same systematic error a neutral reviewer missed * After every good session, turn it into a reusable skill: capture what 'good' looks like the moment you've achieved it, before memory fades Read the full edition with all links and sources: https://steadman.ai/newsletters/david/#edition-2026-03-28