Artificial Intelligence is driving a renewed interest in socialist economic principles in America by threatening widespread job disruption, worsening wealth inequality, and presenting new opportunities for state economic planning.
While socialists are literally "taking over" the United States (see Mamdani and MAGA), the mainstream political conversation surrounding AI has shifted toward policies traditionally rooted in left-wing thought. This shift is being driven by structural changes in the economy and unusual alignments across the political spectrum.
1. The Threat of Mass Unemployment and "Robot Taxes"
As generative AI automates white-collar and administrative roles, fears of structural unemployment are rising.
• Prominent left-wing figures like Senator Bernie Sanders have weaponized these fears, warning that corporate leaders will use AI to enrich billionaires while replacing ordinary workers.
• To counter this, progressives are actively advocating for socialist-leaning economic cushions.
• Key proposals include a government-mandated 32-hour workweek with no loss in pay, a "robot tax" on tech companies that replace human labor, and a universal basic income funded by automation profits.
2. The Rise of "AI Socialism" and Sovereign Wealth Funds
The sheer scale of wealth generated by tech giants has led to unprecedented proposals for state intervention and ownership.
• Progressive Nationalization: Sanders and his allies have floated proposals to nationalize or take massive public stakes in the AI industry to ensure its benefits are redistributed to the public rather than hoarded by corporations.
• Bipartisan Flirtation: Surprisingly, the concept of "AI socialism" has crossed party lines. President Donald Trump has explored ideas pitched by tech leaders like OpenAI's Sam Altman to have the federal government take ownership stakes in major AI firms. The returns would feed into a public wealth fund shared with the American public, blurring the lines between populist capitalism and state socialism.
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3. Reimagining the "Planned Economy"
For decades, free-market economists argued that socialism fails because a centralized government cannot possibly calculate the pricing, supply, and demand of millions of products—a dilemma known as the "knowledge problem".
• Modern democratic socialists and tech theorists argue that advanced AI algorithms can finally solve this computational puzzle.
• They believe hyper-advanced AI can seamlessly track consumer preferences, manage logistics, and distribute resources efficiently.
• This would theoretically allow a society to maximize the human usefulness of goods rather than focusing purely on corporate profitability.
The Counter-Argument: Why Critics Say It Will Fail
Free-market advertising institutions, such as the Mises Institute and the American Enterprise Institute, strongly reject the idea that AI justifies or enables socialism:
• The Discovery Problem: Critics argue that AI cannot calculate human desires because preferences are discovered through real-time market choices and price signals, not static data on a spreadsheet.
• Cronyism and Control: Opponents warn that nationalizing AI or creating state-backed monopolies will destroy America's competitive edge, breed government corruption, and give bureaucrats dangerous control over free speech and information filters.
The American media seem to be surprised:
“Hating artificial intelligence may be the only thing about which Americans agree. But they are global outliers in their pessimism.
A survey of 24,000 adults across 30 countries found that citizens of nearly all of those countries, rich or poor, see A.I. more favorably than Americans do.
This is startling for citizens of a wealthy, advanced economy who are usually enthusiastic tech adopters of anything with a wall charger.
The technology industry says American nervousness is wrongheaded. Fear-mongering media! Foreign disinformation! This makes pessimism a communication problem. Fix the messaging, get the optimistic voices out there, and the support for A.I. will grow. Hang around any Reddit A.I. group, or listen to recent college graduation speeches by tone-deaf tech execs, and you will feel as if there is already an entire gig economy of A.I. boosterism.
Why isn’t it working? Because the theory is incomplete, at best. If American A.I. pessimism were merely cultural or informational, it would correlate with media consumption, education levels or political polarization. Instead, it cuts across all those categories. It correlates instead with labor market institutions.
Start with the global picture. Plot A.I. sentiment against income and labor market, and there is a pattern.
Poorer countries are A.I. optimistic: Indonesia at 76 percent, Thailand at 77 percent and Mexico at 63 percent.
Rich countries like the United States, the Netherlands and Belgium are not A.I. optimistic. What A.I. means depends, in large part, on where you sit economically.
In countries with largely informal economies — where large numbers of people work without contracts, benefits or legal protections — A.I. looks like a ladder to better economic outcomes previously available only to those with capital, education and formal employment. A small manufacturer in Guadalajara or a street vendor in Jakarta doesn’t have much to lose from A.I. disruption, and potentially a great deal to gain.
In rich countries with more formal labor markets, however, A.I. looks more like an ambush. It threatens what people already have: stable employment, predictable income and accumulated professional standing. While A.I. might help in the abstract, people are more worried about a socioeconomic trapdoor opening beneath their feet and eroding that stability.
But not all wealthy nations feel the same. Norway is more optimistic than France, and Germany more than Canada. Those countries have broadly similar income levels, so income alone doesn’t explain the variation.
So what does? In Norway, losing your job means receiving around 67 percent of your previous wages in unemployment benefits while you search for the next position. In France, it’s around 66 percent, and 60 percent in Germany. The insurance system treats unemployment as a temporary inconvenience and bridges you smoothly across.
The United States pays significantly less in unemployment benefits than many European countries do. And that is for only a limited period, through a patchwork of state systems with wildly varying generosity. Many workers don’t qualify. U.S. workers are much more likely to exhaust unemployment benefits before finding work, especially in recessions. Those with low savings may quickly tip into precarity.
Different generations feel pinched in different ways. For younger Americans — who are most likely to be working in gigs, early-career jobs or positions most exposed to A.I. substitution — the absence of an income floor is the threat.
(Note that there is recent research suggesting remote work also has held young people back, but A.I. is still a factor.)
For workers in their 40s and 50s with families, mortgages and ongoing health care needs, the American safety net fails even more comprehensively. Blame employer-linked health care. Every other rich country in the survey — including Germany, France, Japan, Australia, Canada and Britain — provides health care independently of one’s job. Losing your job in those countries means losing income. Losing your job in America means losing income and health coverage simultaneously, often for an entire family.
Job loss in the United States is more threatening than anywhere else in the wealthy world. It turns what should be a setback into a potential cascade — income, insurance, mortgage and child care, all at risk at once.
Meanwhile, A.I. chief executives won’t stop telling Americans A.I. is coming for them. The technology is a missile aimed at the most fragile part of the American socioeconomic bargain.
No wonder Americans are pessimistic about A.I. While better messaging will not fix this, decoupling health care from employment might. Building an unemployment insurance system that actually replaces income at a meaningful level might. Americans’ pessimism about A.I. is largely rational, about a technology tailor-made to crack their crumbling and antiquated social compact.
Paul Kedrosky is a fellow at MIT’s Institute for the Digital Economy, a venture capitalist, and author of a popular newsletter at paulkedrosky.com.” [1]
1. There’s One Clear Reason Why Americans Are Gloomy About A.I.: Guest Essay. Kedrosky, Paul. New York Times (Online) New York Times Company. Jun 25, 2026.
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