The 9-Person Insurance Company and the Real Line in AI-First Healthcare

Y Combinator has a name for it: burn tokens, not headcount. A health insurance company called Decent runs with nine people total. Twofold does revenue cycle management with three. Deep Cura Health handles patient scheduling, prior authorization, and insurance verification with two humans and seven AI agents.The AI-first model is real. It's working. And in healthcare, every one of these companies has made the same quiet choice: they're attacking admin, not clinical.This episode unpacks why — and why the conventional wisdom ("admin is safe to automate, clinical isn't") is the wrong frame. The real line isn't admin versus clinical. It's decision support versus decision making. IBM burned $4 billion learning the difference with Watson Health. The next generation of healthcare AI companies will either learn from that, or rebuild the same trap with better UX.What's covered:How AI-first companies are quietly rewriting healthcare staffingWhat IBM Watson Health actually got wrong — and why "the AI was wrong" misses the lessonWhy most "decision support" products today are decision-making in a trench coatThe payment-model problem nobody is pricing: a 5,000-patient panel breaks fee-for-serviceThe companies positioning themselves on the right side of the line🎥 Watch on YouTube: https://youtu.be/9fHKQqm15qo📝 Companion essay (with the receipts I had to cut for length): https://danmccoymd.substack.com/p/the-part-of-ai-first-healthcare-that