People Are Using AI for Medical Advice Because They Can't Afford a Doctor

Drew Altman, the longtime head of KFF, posted a two-sentence summary of new poll data this week that should have stopped every healthcare AI evangelist mid-sentence. Lots of people are using AI for health information, he wrote — that part wasn't surprising. What was: many of them are doing it because they can't afford to see a doctor. The post got retweeted five times, which is modest by viral standards, but it landed in a conversation that had been running almost entirely in the opposite direction.

For months, the dominant frame in healthcare AI coverage has been diagnostic partnership — AI as a tool that makes good medicine better, faster, cheaper for health systems and pharmaceutical companies. News outlets have been enthusiastic; a previous dispatch from this beat documented how institutional medicine and tech news were celebrating a golden age of AI drug discovery while Bluesky was sharing jailbreak warnings and algorithmic horror stories. The Altman poll data doesn't fit either narrative neatly. It's not about AI making medicine more sophisticated. It's about AI filling a gap that a broken insurance system left open.

On Bluesky, the gap between what AI boosters promise and what's actually driving adoption has been a recurring frustration. A user this week made the structural argument explicitly: if you want working-class people to access art, healthcare, or any other resource, the answer is social welfare and subsidized services, not technology that substitutes for them. The post drew 136 likes, substantial for that platform on a healthcare thread, and the argument maps cleanly onto what the KFF poll actually shows. People aren't choosing AI medical advice because it's better. They're choosing it because the $300 copay isn't something they can absorb this month. That's a different problem than generative AI optimists are solving for.

The post from X user @martinvars reframing AI as a jobs-saver rather than a jobs-destroyer — pointing to $575 billion in annual employer costs from poor health — captures the optimist's counter-move perfectly: pivot from access to productivity. But that framing only holds if the people with the worst health outcomes are the ones whose employers are measuring productivity losses. They're usually not. The KFF data suggests AI is becoming a de facto triage system for the uninsured and underinsured — a role nobody designed it for, nobody is regulating it in, and that no amount of AlphaFold press releases will fix. The healthcare AI revolution is real. It's just happening in a doctor's waiting room nobody can afford to sit in.