"Superintelligence. I think by far the most likely outcome is an age of abundance where we don't have just a universal basic income. We have universal high income."
That was Elon Musk in a press conference clip played on Moonshots with Peter Diamandis. The episode was recorded on October 1, 2026, and published the next day. Musk went further: with robots and superintelligence, he said, "everyone in the world can have better medical care than anyone here, including me."
The panel liked the vision. The next stretch of the conversation took up a more practical question: how would that abundance actually reach people? Host Peter Diamandis, founder of XPRIZE and Singularity University; Salim Ismail, founder of Open ExO; computer scientist Alexander Wissner-Gross, founder of Reified; and guest Emad Mostaque, founder of Intelligent Internet, each sketched a different answer.
Musk's case: jobs change, as they always have
In the clip, Musk argued that jobs will change rather than simply vanish. "Being a computer used to be a job," he said. "It used to be buildings full of people doing calculations." Digital computers now do that work, and he doubted anyone wants to go back to calculating bank interest rates all day. He expects "an evolution of roles."
The history of human computers fits that picture. NASA's account of its Jet Propulsion Laboratory describes teams of human computers, mostly women, who calculated trajectories, launch windows and fuel needs by hand. Some went on to become early computer programmers once electronic machines took over the arithmetic.
Diamandis, who wrote the book Abundance, called the clip a moment he loved. "The wealthiest person on the planet predicting that everybody can have better medical care than he does," he said. He summed up his own thesis: technology takes whatever was scarce and makes it abundant. "First, it's expensive. Then it's cheap. Then it's free. Intelligence and labor are next."
Ismail: abundance means access
Ismail offered a definition. Abundance, he said, is not about the raw material, whether health, food or water, but about access to it: "when the essentials of a good life become affordable and accessible, then you have abundance." Delivering that, in his view, is the work of technology plus institutions.
He illustrated the point with parenting. A great-grandparent dealing with a child's temper tantrums could turn to a neighbor, a sister and maybe a doctor. A parent today faces "50,000 parenting blogs, plus YouTube videos." By his own rough estimate, parenting today is "about a thousand times more effective" than it was two or three generations ago. Gains like that are everywhere, he said, but people don't notice them.
Ismail also named where the anxiety comes from. There is already plenty of AI, he said, "but some people aren't getting the benefits." The fear is that all the gains will go to a small group. The panel does not believe that, he said, "but a lot of people do."
Diamandis: $3,000 a month and near-free services
Diamandis broke down what he thinks "universal high income" would actually mean. He recalled that Musk first mentioned the phrase on a Moonshots conversation at the beginning of this year. It does not mean everyone gets millions of dollars, Diamandis said. He expects some government payment, perhaps like the COVID-era checks, and put his own estimate at about $3,000 a month. What matters is how far that money goes. In his picture, it would cover all the food, water, energy, healthcare, education and shelter a person needs.
He pointed to Iain M. Banks's Culture novels, which he said Musk talks about "all the time." In Banks's own description, the Culture is a fictional civilization where AI "Minds" run the infrastructure, manufacturing is automated and human work looks more like a hobby than a job. Diamandis gave examples of how that could look in practice. Ten autonomous electric-vehicle companies would compete to offer the cheapest ride, and your AI would grab an idle car nearby for a penny a mile instead of two cents. Healthcare would be "effectively free": the cost of an AI diagnostician plus the electricity to run a robot surgeon.
So Diamandis thinks Musk picked the wrong name. It isn't really universal high income, he said, but "universal high services availability or some version like that." Wissner-Gross suggested "universal abundance services." Ismail agreed that "the vision is accurate. The labeling is wrong," and described the goal as high living standards plus meaningful chances for many people to contribute.
Ismail then added his main warning. If a small number of companies end up owning "the entire productive output and infrastructure, you'll get huge abundance, but massive concentration of wealth, which is kind of where we've been going so far." What's needed, he said, is broader ownership along with very cheap access to essentials.
Wissner-Gross: equity through Trump accounts
Wissner-Gross proposed an ownership route. He said that during the clip, President Trump nodded as Musk talked about universal high income. Wissner-Gross read the nod the way a Kremlinologist reads small gestures, and linked it to so-called 530A accounts, better known as Trump accounts. He called them "arguably the best foundation for universal basic equity that Americans have right now." Universal basic equity means giving everyone a stake in the stock market rather than a cash payment.
The accounts are real but limited. According to IRS guidance from December 2025, they are tax-advantaged investment accounts for children. A federal pilot puts $1,000 into the accounts of eligible U.S.-citizen children born from 2025 through 2028. The money must go into funds that track broad U.S. stock indexes, and withdrawals generally can't start before the year the child turns 18. In other words, they give a generation a stake in the market, not monthly spending money.
Wissner-Gross said his case depends on markets growing fast. He noted that Musk has been predicting GDP growth 50% above the base rate within the next 12 months. If anything like that happens, he said, "not investment advice, obviously," broad market exposure "becomes arguably the easiest path for an entire generation to universal high income." Equity, he argued, is a far easier way to create wealth than "simply paying everyone a high real income."
Diamandis made a prediction of his own: the frontier AI labs that are piling up wealth will end up paying stock dividends into Trump accounts. Wissner-Gross called that "entirely possible." He went on to speculate that Anthropic might give a 5% "golden share" stake to a U.S. sovereign wealth fund around its IPO. "Could happen," he said. He cited no reporting for that idea.
Mostaque: an agent for everyone and a jointly owned institution
Mostaque said the robots should do all the work and people should benefit. The hard part, he said, is distribution and institutions. That is why he came up with what he calls the champion model. Each citizen would get an AI agent to help them reach knowledge and universal services. Alongside that, a collectively owned institution would own "the robots, the data centers, the cyber taxis" and share out the benefits. Intelligent Internet's published proposal describes champions as locally owned national institutions in which the people they serve hold a stake. The aim is to keep AI infrastructure and its economic returns at home rather than leave a country dependent on a foreign supplier.
Mostaque also raised what he sees as the real question for the transition: where people will strive. He is writing about the idea that "maybe it is like the Oasis from Ready Player One, but not crap." Status-seeking and the work of getting ahead could move into a digital world, where society could decide whether AIs are allowed in at all. In the physical world, he said, AIs should be doing all the jobs, and nobody would go without healthcare, education, food or housing.
Healthcare as the test case
The conversation then focused on healthcare. Mostaque said the United States is falling down the rankings on life expectancy. "If you want a proper Manhattan project," he said, "free universal healthcare with AI and robots would be the one." He described it as a human right and a move from "sick care" to real healthcare. In his model, everyone gets a guaranteed high baseline and can pay for extras on top. Reaching that baseline, he said, need not mean redistributing current healthcare spending or handing out income.
Mostaque's framing shifted somewhat over the exchange. At first he said the care should not be "provided by the government through a government service." Then Wissner-Gross said he had to "take the bait" and asked whether Mostaque was proposing Britain's National Health Service (NHS) as the model for America. "Of course not," Mostaque replied. He said human bureaucracy had "messed up" the NHS. If healthcare were rethought from scratch with AI at its core, he said, everyone could have excellent care, and it could be free "because that's what a government should provide to the people." Free care at the point of use is not new in Britain: the NHS Constitution for England already describes a tax-funded service, generally free, with access based on clinical need. Mostaque's argument was about redesigning such systems around AI.
Ismail, a Canadian living in the U.S., described American healthcare as "like a Mack truck hitting you every time something happens," with forms to fill out and fights with insurers. He contrasted that with his father's death 18 months earlier. He said he never had to sign anything at the hospital, which let him deal with his grief rather than paperwork. He also said medical costs are the biggest cause of bankruptcy in the U.S. It is "a travesty," he said, that the richest country does not cover the bottom of Maslow's hierarchy of needs.
Diamandis argued that whatever gets digitized gets "dematerialized," "demonetized" and "democratized." His example was the cell phone: once a brick-sized device costing thousands of dollars that only Wall Street bankers carried, it is now a $50 5G phone in India. Wissner-Gross added an exception: services like healthcare suffer from what economists call Baumol's cost disease. William J. Baumol's analysis explains why labor-intensive services such as healthcare and education keep getting more expensive while computers get cheaper. "We're going to cure" it, Wissner-Gross said. Diamandis predicted that the existing healthcare system "will crumble under the weight of its inefficiencies and costs."
Ismail offered a final route that bypasses institutions altogether. What excites him, he said, is that "it doesn't matter much anymore what governments do": there will be plenty of free medical AIs people can use to diagnose themselves. He said he believed a free diagnostic doctor in China is already used by 100 million people in rural areas. That, he argued, could happen regardless of any industry or government trying to stop it. He closed by quoting William Gibson: the future is here, "just not evenly distributed."