A third of US adults now use an AI chatbot for a health question, Pew finds -- most call it helpful, but a separate survey found few call it accurate

A third of American adults now turn to an AI chatbot for something health-related -- checking a symptom, decoding a lab result, deciding whether a headache is worth a doctor's visit -- according to a Pew Research Center survey of 3,488 US adults published August 25. Most of them say it helped. Whether it was actually right is a separate question, and a different, larger Pew survey already asked that one directly.

34% (share of US adults who've used an AI chatbot for at least one health-related reason, per Pew's June 2026 survey) Pew's new survey, fielded June 22-28, 2026, calls that group "chatbot health users." The most common use is the simplest: 28% say they've asked a chatbot for quick health information. The list gets more consequential from there -- 25% have asked one what's causing a symptom, 22% have asked it to explain a doctor's diagnosis, 20% have used one to interpret lab results, and 15% have used a chatbot to help decide whether to see a doctor at all.

Who does this varies sharply by age and background. Chatbot health use runs from 44% among adults under 30 down to just 17% among adults 65 and older -- and from 56% among Asian American adults to 29% among white adults, per Pew's breakdown. (Pew doesn't explain the size of these gaps, but the pattern tracks the general AI-adoption curves the Center has documented elsewhere -- younger and more online generally means more comfortable handing a personal question to a chatbot, health included.) People who describe themselves as already excited about AI report using it for health at nearly triple the rate (60%) of people who say they're more concerned than excited (21%).

Helpful, but not the same as accurate

Among people who used a chatbot for health, 47% called the answers extremely or very helpful, and just 5% called them unhelpful. Comfort with the privacy side of that exchange is far more split: 29% say they're extremely or very comfortable sharing personal health information with a chatbot, and 26% say they're not comfortable at all -- close enough to a coin flip that "comfortable" isn't the consensus the helpfulness number implies.

That helpfulness number is easy to misread as a verdict on quality. It isn't one, and a different, larger Pew survey already asked the harder question. In an October 2025 poll of 5,111 US adults -- fielded eight months earlier, on an older model generation, testing a different metric -- Pew asked people who'd gotten health information from a chatbot to rate its accuracy. Only 18% called it highly accurate. Convenience scored far higher, at 48% -- versus 40% for social media -- which is the actual finding that April report led with: people say AI health information is convenient more than twice as often as they say it's right.

Line the two surveys up and the picture sharpens instead of contradicting itself: helpfulness and accuracy are different questions, and Americans answer them differently depending on which one gets asked. A chatbot that responds instantly, in plain language, at midnight, can feel helpful regardless of whether the underlying medical claim holds up -- and 41% of the April survey's respondents did call chatbot health answers easy to understand, a real edge over the 30% who said the same about health information from social media. Easy to understand is not the same thing as correct, and only one of the two surveys actually measured correct.

The products built for exactly this are already live

The demand Pew is measuring already has products chasing it. OpenAI launched ChatGPT Health on January 7, 2026, and Anthropic followed five days later with Claude for Healthcare -- both steering users toward a licensed professional for anything requiring actual diagnosis or treatment, TechCrunch reported at launch. Pew's survey never asks which product or company its respondents actually used; it only asks about "AI chatbots" in general, so there's no way to know how much of the 34% is flowing through a purpose-built health product versus a general-purpose assistant answering a question it wasn't specifically built to handle.

Comfort with sharing your health history with a chatbot isn't a majority position in either direction -- it splits almost exactly down the middle, and the tool's own accuracy numbers give the skeptical half a real argument.

A second Pew report published the same day, using the same June sample, asked about a different use case entirely: chatbots as support for loneliness, depression or stress. Here Americans lean skeptical rather than hopeful. 39% say chatbots do more to hurt people using them for loneliness, against 19% who say they help; on depression it's 36% hurt versus 17% help. Adults under 30 -- the same group most likely to use chatbots for physical-health questions -- are also the most likely to call the mental-health use harmful: 49% say chatbots hurt more than help with loneliness, the highest share of any age group Pew measured.

None of this adds up to a diagnosis, and it isn't meant to. Pew's own numbers make a more modest, better-supported case: a real share of the country already treats an AI chatbot as a health resource, most describe the experience as helpful, and the one survey that actually asked about accuracy -- on an earlier model generation, on a different sample, eight months before this one -- found far less confidence than the helpfulness numbers alone would suggest. The gap between those two findings, not either one alone, is the story.