Elon Musk Says AI Could Make Work Optional and Money Irrelevant. What Happens Before Then?

Elon Musk has offered one of the most optimistic visions of an AI future.

At the U.S.–Saudi Investment Forum in November 2025, he predicted that artificial intelligence and robotics could make work optional within ten to twenty years. People might work for the same reason they grow vegetables in a backyard when they could buy them at a store: because they enjoy doing it.

Farther into the future, Musk said, money could become irrelevant.

AI and humanoid robots could eliminate poverty, make goods and services abundant and create what he has called “universal high income.”¹

This prediction is easy to dismiss as billionaire fantasy.

We should resist that temptation.

Musk may be directionally right. AI and robotics could eventually produce extraordinary abundance. Machines may grow food, construct buildings, manufacture products, transport goods, diagnose disease and perform much of the cognitive work now done by people. The cost of producing many necessities could fall dramatically.

That is not an absurd future.

But it is not a transition plan.

The central question is not only whether technology can someday make work optional.

It is what happens while work is becoming less necessary to production but remains essential to survival.

The Vision Should Be Taken Seriously

Human history contains many things that once appeared impossible.

For most of history, the overwhelming majority of people worked to secure food, shelter and basic survival. Machines replaced enormous amounts of physical labor. Electricity, sanitation, medicine, telecommunications and industrial production created living standards that earlier generations could barely imagine.

AI and robotics could extend that process.

If machines become capable of performing nearly every economically useful task, the quantity of goods and services available to humanity could rise while the human labor required to produce them falls.

In that world, tying every person’s right to consume to the market value of their labor would make less and less sense.

Musk is also right to look beyond universal basic income. A small check distributed into an economy of expensive housing, healthcare, food and energy would not create abundance. It might merely help people compete against one another for the same limited supply.

Universal high income suggests something more ambitious: productive capacity so great that everyone can enjoy a high material standard of living.

That is a worthwhile aspiration.

But the words conceal the hardest part of the problem.

Abundance Is Not the Same as Access

An economy can possess enormous productive capacity while millions of people cannot afford what it produces.

A grocery store can be full while a family goes hungry.

Apartment buildings can exist while people sleep outside.

Hospitals can possess extraordinary technology while patients delay treatment because they cannot pay.

These are not necessarily failures of physical production. They are failures of access, income, allocation and institutions.

AI could make this contradiction more severe before it resolves it.

A company may use AI to produce more with fewer workers. Its costs may decline. Its output may rise. Its owners may become wealthier.

But the displaced workers do not automatically receive the products they helped make unnecessary to employ them.

They receive a lost paycheck.

The company has become more productive. The former employees have become less able to participate in the market.

If this happens in a few companies, the economy may absorb the change.

If it happens across many occupations faster than new sources of income appear, production and access can move in opposite directions.

Money Does More Than Pay for Production

Money is sometimes discussed as though it is an inconvenience that advanced technology will naturally make obsolete.

But money does more than compensate workers or record the cost of manufacturing something.

It allocates scarce goods.

AI may make a digital answer nearly costless. It does not create an unlimited number of homes in desirable locations. It does not make land infinite. It does not instantly eliminate competition for energy, raw materials, medical attention, transportation capacity or human care.

Robotics may reduce the labor required to build a house. The land beneath it can remain scarce. Local rules can continue to restrict construction. Owners can still charge what the market will bear.

AI may help discover a treatment. Manufacturing capacity, clinical services and access to the treatment can remain constrained.

Even in a highly automated economy, some goods will be abundant and others will remain scarce.

Money—or some other system of priority and allocation—will continue to matter wherever scarcity survives.

A robot-built apartment is not available to everyone if one person or company owns it and retains the right to exclude others.

A fully automated factory does not become public property merely because almost no one works inside it.

Technology can reduce the cost of creating wealth without changing who owns the wealth after it is created.

The Transition Has an Order

Optimistic AI forecasts often move directly from automation to abundance.

The sequence may be very different.

Companies do not need fully capable humanoid robots or artificial general intelligence to reduce hiring. They need systems that allow fewer people to complete the same work.

The International Labour Organization estimated in 2025 that one in four workers worldwide held an occupation with some exposure to generative AI. It concluded that transformation was more likely than full replacement for most jobs.²

That is an important caution against assuming immediate mass unemployment.

But transformed jobs can still mean fewer entry-level positions, slower hiring, reduced hours, lower bargaining power or one employee performing work previously divided among several people.

Those changes can weaken labor income long before AI makes housing, healthcare and other necessities inexpensive.

The interval between those two stages could last years or decades.

During that interval, families still have mortgages. Rent is still due. Children still need food. Governments still depend on taxes. Retirement systems still assume contributions from workers and employers.

Workers cannot simply suspend their lives until the cost of living catches up with the cost of production.

Universal High Income Is a Distribution System

“Universal high income” sounds like an outcome of technological progress.

It is actually a claim about distribution.

Income reaches people through a limited number of channels.

They can earn wages by selling their labor. They can receive returns from assets they own. They can operate businesses. They can receive transfers from government, family or other institutions.

If AI reduces the role of labor, wages become a weaker distribution channel.

Something else must become stronger.

Technology does not choose what that replacement will be.

It does not decide whether people will own shares in automated companies, receive a public dividend, depend on a basic-income program, share profits with employers or simply compete for a shrinking supply of human work.

Those are questions of law, ownership, taxation and political power.

The International Monetary Fund has modeled AI as a potential source of higher output alongside greater inequality. Its analysis found that returns to capital can increase wealth inequality even when some workers benefit from AI, and it has warned that fiscal policy may be needed to broaden the gains.³

This is not an argument that AI must produce inequality.

It is evidence that the distributional problem does not solve itself.

Ownership Arrives Before Abundance

The first large gains from AI are unlikely to arrive as complimentary goods delivered equally to everyone.

They are more likely to arrive as profits, asset values and competitive advantages.

The companies that own advanced models, chips, data centers, energy contracts, robots, proprietary data and distribution platforms will be positioned to capture a substantial share of the early value.

That value then flows to the people and institutions that own those companies.

Ownership is already highly unequal. Federal Reserve distributional data for the second quarter of 2026 show that the wealthiest one percent of Americans held roughly half of corporate equities and mutual-fund shares, while the bottom half held less than one percent.⁴

If AI raises the return to capital while reducing the need for labor, the people who begin the transition with substantial assets possess a powerful advantage.

They gain from the machines.

Everyone else is told to wait for the abundance the machines may eventually provide.

This does not mean owners are villains. Investors take risks. Entrepreneurs create value. Pension funds and ordinary households also own shares.

But partial ownership by the public does not erase extreme differences in scale.

A worker with a modest retirement account does not experience a rising stock market in the same way as a founder or major shareholder whose wealth grows by billions.

If ownership remains concentrated, an automated economy can become extraordinarily wealthy without making most people economically secure.

The Middle Class Could Disappear on the Way to Utopia

The great expansion of the American middle class did not require everyone to own a factory.

It required productive businesses to distribute enough of their gains through wages, benefits and broadly accessible opportunities that millions of households could participate in the economy.

Workers became customers.

Customers supported businesses.

Businesses created income, investment and tax revenue.

The system was never perfectly fair. Many people were excluded. But broad labor income helped create a mass market large enough to support both middle-class prosperity and enormous private fortunes.

Productivity gains do not always reach typical workers automatically. The Organisation for Economic Co-operation and Development has documented that median wages and productivity became increasingly disconnected across a number of advanced economies, partly because labor’s share of income declined and wage inequality increased.⁵

AI could accelerate that separation.

It could create an economy with more output, more valuable companies and fewer dependable paths into the middle class.

By the time technological abundance becomes capable of replacing the old system, the political trust and social stability needed to construct a new one may already be damaged.

What Would Build the Bridge?

No one knows whether Musk’s timeline is correct.

Work may not become optional in twenty years. Money may never become irrelevant. AI may create new occupations faster than it eliminates existing ones.

Preparation does not require certainty.

It requires building institutions that improve the outcome across multiple futures.

These measures do not require government to decide every economic outcome.

They recognize that markets operate inside rules and that rules written for a labor-dependent economy may not distribute the gains of a labor-light economy.

The goal should not be a perfect result for every person. No institution can guarantee that.

The goal should be to maximize the practical number of people who can participate and thrive, while avoiding orders-of-magnitude unemployment, poverty or wealth concentration during the transition.

Purpose Matters—but Survival Comes First

Musk has acknowledged another problem: if computers and robots can do everything better than people, humans may face a crisis of meaning.

That question matters.

Work provides structure, identity, relationships and the satisfaction of being useful. A society in which employment is optional would need new institutions through which people contribute, learn, create and belong.

But purpose cannot substitute for material security.

It is difficult to contemplate the meaning of life while facing eviction.

A post-work society would need to solve both problems: how people receive the material means to live and how they build meaningful lives after employment is no longer the primary organizing institution.

We should not use the second question to avoid the first.

The Future Cannot Be a Leap of Faith

Musk’s forecast contains a hopeful destination.

Work becomes a choice.

Poverty disappears.

Goods and services become abundant.

Money loses its importance.

Perhaps humanity can reach that destination.

But we cannot assume that eliminating people’s economic roles will automatically grant them a share of the resulting abundance.

We cannot assume that owners will surrender scarcity rents because production has become easier.

We cannot assume that new distribution institutions will appear at the exact moment labor income begins to fail.

And we cannot ask millions of people to endure a devastating transition on the promise that technology will eventually make their hardship unnecessary.

The challenge is not to stop AI from creating abundance.

It is to ensure that society builds the bridge to abundance before dismantling the only bridge most people have now.

Endnotes & sources

1. Elon Musk and Jensen Huang, discussion at the U.S.–Saudi Investment Forum, November 19, 2025. Musk predicted that work could become optional within ten to twenty years and that money could eventually lose its relevance. The Associated Press also reported his statements that AI and humanoid robots could eliminate poverty and make everyone wealthy: Associated Press. Musk had discussed “universal high income” and abundant goods and services earlier; see Fortune for his 2023 formulation.
2. International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure, May 20, 2025. The ILO found that one in four workers globally held an occupation with some exposure to generative AI while concluding that transformation was the most likely effect for most jobs.
3. International Monetary Fund, Gen-AI: Artificial Intelligence and the Future of Work, January 14, 2024; and “Fiscal Policy Can Help Broaden the Gains of AI to Humanity,” June 17, 2024. The IMF analysis distinguishes possible productivity gains from their effects on labor income, capital returns and wealth concentration.
4. Board of Governors of the Federal Reserve System, Distributional Financial Accounts, 2026 second-quarter data. The figures cited are rounded shares of aggregate corporate equities and mutual-fund holdings by wealth group. See also the Federal Reserve’s wealth-component comparison tool.
5. Organisation for Economic Co-operation and Development, “Labour Share Developments over the Past Two Decades: The Role of Technological Progress, Globalisation and ‘Winner-Takes-Most’ Dynamics,” OECD Employment Outlook 2018. See also OECD, The Impact of Artificial Intelligence on Productivity, Distribution and Growth, 2024.