Sheldon Richman rightly cheers Jeff Bezos’s defense of large fortunes earned in market economies. Two slices:
When an American businessman defends the large fortunes made—that is, earned—in the marketplace, it’s something to celebrate. Jeff Bezos, the creator and head of Amazon.com, did just that in a recent wide-ranging interview on CNBC’s Squawk Pod with host Andrew Ross Sorkin on May 20, 2026.
While his remarks on political philosophy did not go far enough in defending the morality of money-making, they went farther than anything we have heard from a businessman in quite some time, if ever.
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Here is Bezos, one of the richest men in the world, claiming that being worth a billion dollars or more is not immoral when it comes from pleasing consumers.
He elaborated:
There was one outlet. Then there were two. Then there were three. The way to you made the billion dollars or hundred million dollars or 10 million dollars or anything is that you create a service that people love, and if millions of people choose your service, you’re gonna end up with a billion dollars.”
Mind-blowing, no? This wasn’t Ludwig von Mises or Ayn Rand or Milton Friedman defending the earning of great wealth through production. It was a guy who actually did it. He’s proud, as he should be. He innovated, executed his plan, benefitted hundreds of millions of people beyond calculation—and, as a result, did extraordinarily well for himself. (Like other wealthy people, Bezos consumes only a tiny percentage of the total value he creates.)
Why would anyone begrudge such a person the fruits of his labor? Many motives can explain the animosity, among them, envy and sheer hatred of achievement. To be more charitable, however, we can add “ignorance” to the list. Some clueless people may really believe that Bezos has more because others have less.
The Editorial Board of the Wall Street Journal is correct: Donald Trump’s enthusiasm for government taking partial ownership of – “stakes in” – private companies is a step down the same road on which Bernie Sanders now calls for government to seize 50 percent of the equity in AI companies. Three slices:
Many of America’s worst policy mistakes have been bipartisan mind melds. A new example comes this week from Bernie Sanders, who wants the feds to take ownership stakes in AI companies. Hmmm. Which Republican might have inspired this statist brainstorm?
Mr. Sanders teased his forthcoming legislation in a New York Times op-ed that pitched a U.S. AI sovereign wealth fund. “Even President Trump, in an executive order, has proposed establishing an American sovereign wealth fund,” Mr. Sanders writes.
Yes, and we blasted the President’s idea last year. Sovereign wealth funds typically enrich a country’s rulers and friends far more than its citizens. Democrats criticize the Trump family businesses for profiting from the Presidency with crypto deals. Imagine the temptation for corruption if government owns stakes in America’s wealthiest companies.
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The unhappy truth is that President Trump helped pave Mr. Sanders’s road to AI socialism with his industrial policy. In return for approving Nippon Steel’s acquisition of U.S. Steel, Mr. Trump demanded a “golden share” that gives the government veto power over major business decisions. He has already blocked the closure of an unproductive Illinois plant.
The U.S. took a 9.9% equity stake in Intel last summer as it floundered. Mr. Trump claims credit for the subsequent 300% surge in Intel’s share price. He should really thank the business decisions of CEO Lip-Bu Tan—whom he had earlier called to resign—and insatiable demand for chips by AI hyperscalers.
The Administration has also taken equity stakes in critical mineral developers MP Materials, Lithium Americas, Vulcan Elements, Trilogy Metals and USA Rare Earth. There may be some cases when the feds need to invest for security or defense needs, but Mr. Trump is doing it with little restraint. This week he invested in coal plants, of all things.
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The U.S. leads the world in AI because entrepreneurs and investors have combined to innovate and compete. Political control would stifle that growth and cede leadership to China. It would be a tragedy for the ages if AI became the road to American socialism.
Matt Yglesias tweets: (HT Scott Lincicome)
It’s so funny to me that the “take stakes” euphemism has talked Republicans into doing nationalization of industry.
Jeffrey Depp writes insightfully about AI, as well as about the arrogant – and in many cases, venal – itch to have government regulate it. (HT Alden Abbott) Two slices:
The more fundamental question is whether either level of government possesses the knowledge, incentives, or institutional capacity to regulate a technology evolving at extraordinary speed. Before deciding who should regulate AI, we should first ask whether government can regulate it effectively at all.
The answer is no.
Critics of AI regulation often focus on innovation, competitiveness, or economic growth. Those concerns matter. But they are secondary to a more fundamental insight developed by economists associated with the Austrian and Virginia schools of political economy. The problem is not simply that regulation may slow innovation. It is that neither federal nor state regulators possess the knowledge necessary to determine what AI should become. And even if they did, the political process would steadily transform limited oversight into expansive control.
The result is a regulatory project almost certain to fail on its own terms.
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Israel Kirzner extended Hayek’s insight by emphasizing entrepreneurial discovery. Markets are not static systems moving neatly toward equilibrium. They are dynamic processes through which entrepreneurs discover opportunities others have missed. Competition matters not because it produces a predetermined outcome, but because it reveals information nobody previously recognized.
AI development exemplifies this process. No regulator predicted the explosive growth of prompt engineering—the practice of shaping inputs to get better outputs from AI systems. Few anticipated the rapid rise of AI coding assistants. Fewer still foresaw how quickly businesses would integrate generative AI into legal services, drug discovery, customer support, software development, and scientific research. Those discoveries emerged through experimentation.
That poses a serious problem for regulators. Any reporting requirement, disclosure standard, certification process, or safety framework necessarily reflects current knowledge. It embodies policymakers’ best understanding of responsible AI development at a particular moment.
But what if that understanding is wrong? More realistically, what if it is incomplete? The danger is not merely that regulators may make mistakes. It is that regulation freezes today’s assumptions into tomorrow’s rules.
A reporting framework developed in 2026 reflects what policymakers believe AI risks and opportunities look like in 2026. Yet the market’s understanding of those risks and opportunities may look entirely different in 2028 or 2030.
The great Bruce Yandle counsels Trump to be more realistic and modest.
Ben Zycher bids “good riddance to the SEC’s climate disclosure requirement.” A slice:
Climate policy — the political control of energy supplies — is tailor-made for the achievement of leftist ideological goals unrelated to the environment. Accordingly, the environmental left will not and cannot abandon climate alarmism.
Sooner or later there will be a left-wing U.S. administration with control over the various regulatory agencies. Accordingly, such policies must be opposed vigorously, and pulled out by the roots in whatever form they are found.
Eric Boehm decries the Trump administration’s continuing efforts to escape its legal and ethical obligation to refund the tax – a.k.a. tariff – revenues that it unlawfully collected from Americans.