What Jobs Will Humans Do in a Post-Scarcity Society?
Of all the post-scarcity questions, this is the one people ask with a résumé open in another tab. A composite of the versions we keep seeing:
“Everyone tells me AI won’t take my job, it’ll just change it. Then the same people tell my kid to skip college and become an electrician. So which is it? If machines end up doing most of the work, what will people actually do for a living? And what should someone in their thirties train for right now?”
That bundles two questions. One is about the next fifteen years, while wages still pay the rent and the machines are still being built. The other is about what comes after, once survival no longer depends on a paycheck. They have different answers, and mixing them up produces advice that is either useless or frightening.
While Wages Still Pay the Rent
For the transition, the honest answer is: more jobs than the pessimists expect, in fewer places than the optimists admit.
The best current map is a McKinsey Global Institute report that Fortune covered on October 3, 2026. It projects that AI and automation will cut demand for about 36 million US jobs by 2035 while growth elsewhere creates about 41 million. The new work clusters in healthcare, construction and management. The shrinking work is customer service, retail sales, office support, cashiering and warehouses.
So part of the answer is: care for each other, build things, and run the teams that do both. The catch is the walk from the shrinking list to the growing one. About 85 percent of the growing jobs require a credential, meaning a license, a certificate or a degree, and McKinsey concedes in its own words that training alone cannot compensate workers during training.
There is a second squeeze, quieter than layoffs. On August 19, 2026, Goldman Sachs reported that AI’s drag on hiring hit entry-level workers more than three times harder than the broader workforce. The Stanford Digital Economy Lab’s August revision puts the employment gap for 22-to-25-year-olds in the most AI-exposed occupations at 19 percent. Those junior tasks were never valuable mainly as output. As our article puts it, “boilerplate was the syllabus.” Cut the bottom rung today and in ten years there is nobody ready to become senior.
From the Podcast: A Map of Roads Nobody Paved
The October 4, 2026 episode of Minds, Bodies & Terawatts, our daily podcast, took the McKinsey report apart under the headline McKinsey Says AI Will Create More American Jobs Than It Kills. Only One in Seven of the Workers It Displaces Has a Straight Road Into One.
Following the report’s own metaphor: about 11 million workers would have to leave their line of work entirely. A direct road means switching with less than six months of training and no pay cut, and only about one in seven of them has one. Nearly half face what McKinsey calls an unpaved road: big skill gaps, a long wait for a credential, or lower pay at the end. The report’s example is a dishwasher becoming a home health aide. The job is growing, but most of what the dishwasher knows doesn’t carry over.
The hardest roads belong to the people with the least cushion. Lower-paid workers are more than seven times as likely as higher-paid workers to need a whole new occupation. The episode’s closing advice is to skip the jobs total in the next forecast and ask “who paves the road, and who pays the traveler.”
The Work Where the Human Is the Point
Some work will stay human by choice, not by capability. In an August 2026 essay, Bill Gates made the case for what he calls Human Reserved: work a society deliberately leaves to people, the way a nature reserve leaves land undeveloped. His sharpest example is a diagnosis: “Imagine a robot giving you the awful news that you have an incurable disease. There’s no technical reason why it couldn’t. Yet it shouldn’t.”
Two numbers bound the idea. Pressed by Axios, Gates said the most extreme version he could design would protect roughly 40 percent of jobs, “but that’s as high as I can get.” And the work we already treat as irreplaceably human is paid as if it barely mattered. Home health and personal care aides earn a median of about $17.21 an hour. Federal jurors get $50 a day.
So “the jobs robots can’t do” is a real category and a poor career plan. Reserving the work and valuing it are separate problems, and a wage economy has only ever solved the first.
After the Transition: Roles, Not Jobs
Once the Foundation covers housing, food, healthcare and energy, the word “job” splits in two. The part that meant survival goes away. The part that meant doing something hard with other people and being trusted with more does not, because someone still has to run the factories, hospitals and labs.
That part needs institutions, and the book proposes the Mission Guild: a voluntary association that holds resources in trust for a purpose and organizes people on a ladder that echoes the medieval guilds and the teaching hospital. New arrivals start as Apprentices. Those who prove competence become Contributors. The most experienced become Stewards, and a small rotating group of Stewards serve as Mission Guardians, coordinators whose authority expires; no Guardian serves more than five years. Contributors earn Impact, which the book calls “the Frontier’s answer to salaries”: a non-transferable record of contribution that decays over time and whose only use is access to whatever stays genuinely scarce.
This is also where the apprenticeship problem gets solved. A firm optimizing a quarter can’t rationally pay to train someone for 2036. A Guild whose only reason to exist is its domain has no other move, and under Impact the afternoon a senior spends teaching counts as contribution, not lost output. “Experience is the last input that has no supply curve,” the apprenticeship article argues. When output is abundant, making more experienced people becomes a career of its own.
On unscarcity.ai: Two Articles Behind This Answer
Human Reserved: Can You Fence Off Work From the Machines? works through Gates’s proposal, his robot tax, and why reserved jobs pay so little. The Vanishing Apprenticeship: Who Trains the Next Senior? covers the entry-level data, codified versus tacit knowledge, and how the Foundation, Impact and the Guilds together rebuild the ladder that wages are quietly taking apart.
In the Book: Kenji and Aminata
Chapter 9 of Unscarcity, “The Enterprise EXIT (From Profit to Purpose),” follows the work itself when a company stops being a company. In the section “The Enterprise EXIT: Following One Person Through,” the book’s invented scenario tracks Kenji Watanabe, a senior Volvo engineer who is 41 when the transition begins in 2043, twelve years at the company, with a 401(k) he checks obsessively. His stock options become stewardship certificates that can’t be traded. His wife says they are turning their retirement into “a participation trophy.”
What changes first is the engineering. Without quarterly earnings pressure, a project killed three times for insufficient return on investment gets revived, and a safety improvement that would have added $4 per unit, “a death sentence under the old model, gets approved in an afternoon.” At 51, Kenji is leading a battery research team. “He was never appointed to it.” His institutional knowledge was what the Guild needed.
The section just before it, “What a Knowledge-Work Mission Guild Looks Like,” shows the same ladder in research. Dr. Aminata Diallo, a Senegalese atmospheric chemist, posts a carbon-capture proposal to her Guild’s open forum in 2054. Within a week, eighty researchers have commented. An engineer in Osaka finds a flaw, a mathematician in São Paulo doubles the theoretical yield, and a nineteen-year-old apprentice in Lagos asks a question so naive that Aminata realizes she has been solving the wrong problem. Rank exists, but it is specific: the engineer who has maintained the reactor system for three years has more say over reactor decisions than a newly arrived Nobel laureate.
The book runs Kenji’s whole decade. His arc ends in the garage, where the certificate with his name on it sits in a drawer under the Christmas lights. His wife put it there. “It’s a receipt,” she says, the one time he asks. “You keep receipts in a drawer.”
More questions like this one are collected on the blog page. Follow the series on Substack.
