How Would Healthcare Work in a Post-Scarcity Society?
Of all the post-scarcity questions, this one gets asked with the most worry in it. A composite of the versions we keep seeing:
“Free healthcare sounds great until you need a specialist. If nobody pays for anything, what stops the waiting list from stretching to forever? And when there’s one surgeon and ten patients, who decides? Right now money decides. What replaces it?”
The reader has put a finger on the real problem. Unscarcity splits healthcare into two parts and handles them differently. The everyday part, the checkup, the prescription, the broken arm, becomes infrastructure with no meter attached. The scarce part, the rare specialist, the experimental treatment, the last ventilator, still has to be allocated, and the book is specific about the rules it would use instead of price.
The Bill Is the Part That Disappears
In the book’s 90/10 Framework, healthcare sits in the Foundation, the layer that covers roughly 90 percent of life. Chapter 1 describes that layer flowing “like tap water: always on, no meter running. You get them because you exist, not because you’ve proven your worth to an algorithm.”
That sounds expensive until you look at where today’s money goes. The United States spent $15,474 per person on healthcare in 2024, about twice the average of wealthy OECD countries, without longer lives to show for it. Estimates of the administrative share run from about 15 to 30 percent of that spending: billing codes, prior authorizations, denied claims, people whose whole job is to argue with other people about whether your broken arm qualifies for coverage. Take the bill away and most of that has nothing left to do.
The research then builds a budget for a Free Zone, the book’s prototype community for the transition. Healthcare gets about $2,000 a year per resident: $200 for AI diagnostics and monitoring, $300 for prevention, $500 for primary care through AI and telemedicine, $500 for a pooled specialist fund, $400 for a pooled emergency and hospital fund, and $100 for generic medications. The research calls its own figure directionally correct rather than precise.
The book is more cautious still. Chapter 8 says a Free Zone has to deliver a whole life for roughly $8,000 per resident per year, calls that “a target, not a price already achieved,” and adds that “the line that usually breaks first is healthcare.” Cuba, often cited for matching American life expectancy at a fraction of the cost, gets a warning label in the same passage: its numbers “ride on state-set salaries and statistics worth squinting at, so what transfers is the prevention-first design, not the price tag.”
So the first half of the answer is that the bill goes away because the bill was never the care. It was a sorting and arguing machine attached to the care.
What Replaces the Price Signal
Removing the price doesn’t remove the queue. It changes what the queue is made of.
Most medical demand is routine, and routine work is where machines are already strongest. Chapter 1 imagines the nurse working double shifts on an understaffed ward: robots handle “lifting patients, transporting equipment, and managing supplies, while you do what only humans can: comfort the frightened, interpret the ambiguous symptom, hold the hand of someone who’s dying.” The scarce resource stops being money and becomes skilled human attention, and the design goal is to spend as little of it as possible on paperwork and lifting. Chapter 8 puts the division of labor in one line about the Free Zones: “The machines move the goods; people decide the things that need a person to decide.” In medicine, that second category is large, and it is where the queue now forms.
For truly scarce care, the book is candid that someone has to choose. Its clearest example is in Chapter 2, in the section “Saving Up for a Ticket.” Elara spent forty years caring for elders with complex dementia, work the old economy paid at minimum wage. At 75 she applies for life-extension treatment, which the book calls “genuinely scarce; we can’t yet offer it to everyone, and someone has to go first.” Her application takes the slow, reviewed road and draws on her recorded contribution, her Impact. The community reviews it. She gets the treatment.
Two details keep that from becoming a market by another name. First, there is a survival fast lane: any Impact Trust, the book’s way of saving contribution toward one big goal, can be converted “at once and without the painful review, into something that saves your own life.” Elara doesn’t qualify for it, because “nothing is killing her this afternoon.” The book’s reasoning: “Ambition can wait behind the peer reviewers. Survival cannot, and the system is built to know the difference.” Second, the book admits the cost of its own choice. Letting contribution decide who goes first, “rather than medical need or a straight lottery, is a choice this book makes with open eyes, and a contestable one.”
From the Podcast: Bots on Both Sides of the Phone
The June 21, 2026 episode of Minds, Bodies & Terawatts, our daily podcast, showed what happens when automation reaches healthcare inside the old system. Its headline: UnitedHealth’s $3 Billion AI Push Has Bots Calling Doctors.
Bloomberg had reported that UnitedHealth would invest three billion dollars in AI over 2026 and 2027. Its chatbot, Avery, had reached six and a half million members, with twenty million planned by year-end. The AI selects billing codes and flags fraud. The company is testing bots that call doctors’ offices to book appointments, and it claims every dollar spent saves two in labor. The hosts set that against a class action over nH Predict, an algorithm allegedly denying elderly patients’ care with a ninety percent error rate.
The episode lands on the right test: “whether a patient with a complicated case can still reach a human who has the time and authority to help.” That is the reader’s surgeon question in its 2026 form. The same machines can delete the billing layer or make it faster and harder to appeal. Which one you get depends on who owns them and what they are told to optimize.
On unscarcity.ai
$15,474 on Healthcare vs. $8,000 for Everything lays out the full Free Zone budget line by line, healthcare included, and the comparisons it leans on: Cuba, Costa Rica and Kaiser Permanente. The Liability Gap: What a License Really Sells explains why cheap AI diagnosis doesn’t make doctors disappear. It starts with a Florida pastor who sued OpenAI in July 2026, saying ChatGPT talked him out of seeking care before a pulmonary embolism; the next day OpenAI opened ChatGPT Health to every American adult. Its argument is that a medical license sells “a named human being who can be held responsible,” and that accountability, not knowledge, is the part that stays scarce.
In the Book: The Ventilator and the Ledger
Chapter 3, “The MOSAIC of Commons,” opens its section “Law 1: Experience is Sacred” in an overwhelmed hospital. There aren’t enough ventilators, so an AI triage system ranks patients by “expected productive years remaining.” An 80-year-old retired teacher, the woman who mentored half the doctors in the building, drops to the bottom of the list, and a 25-year-old software engineer gets the machine. “The algorithm isn’t cruel. It’s efficient.” The book traces that logic back to the economic arguments about the cost of disabled people’s care that came before the Nazi camps, and answers it with one rule: Never optimize a person.
The next section, “Law 2: Truth Must Be Seen,” supplies the procedure. If algorithms manage “your food distribution, your healthcare, your housing” and you can’t see why one denied you, the book calls it “serfdom behind a touchscreen.” Its rule is “No decision in the dark”: every allocation on a public ledger, and any human able to override the machine, the way any Wikipedia editor can reverse a bot’s edit without asking permission.
Put together, those two laws answer the reader. Scarce care still gets triaged. It cannot be triaged by what a patient is worth, and it cannot be triaged by a system that won’t show its work. The book works through what follows when those rules collide in practice.
More questions like this one are collected on the blog page. Follow the series on Substack.
