The Cognitive Surrender Problem
Ethan Mollick, Wharton professor and author of One Useful Thing, publishes "Choosing to Stay Human". He names AI's quietest danger: people stop thinking once an AI gives them an authoritative answer. Wharton's "cognitive surrender" paper is the proof point.
Mollick frames the next-gen AI problem. Not displacement. Not hallucination. Cognitive surrender. Users stop thinking once the AI looks confident.
Two PNAS studies make it concrete. Turkish high school: 1,000 students. ChatGPT users did homework better, scored worse on exams. Taipei: 1,000 students on a 5-month Python course. AI-tutored students scored 0.15 SD higher - 6-9 months of extra schooling. Same tech, different design. BCG/MIT 758-consultant study: AI users won most tasks, but lost worst on AI-trap tasks (consultants didn't catch the AI's confident error). Anthropic's own coding study: programmers who let Claude do the work couldn't explain what they had done.
For PMs building consumer AI: default UX picks for the user whether to think or surrender. Choose. For execs setting workflows: "AI literacy" without "stay-in-the-loop" defaults rots organizational thinking. For learning teams: use Claude "Learning" style, ChatGPT "/learn", or Gemini "Guided Learning" deliberately.