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Monopoly round-up: Will the trade war pop the AI bubble?

Matt Stoller delivers a startling pivot in the monopoly debate: the potential collapse of the artificial intelligence boom may not come from market saturation or technological failure, but from a geopolitical chokehold on the very materials required to build it. While financial markets obsess over chip shortages and stock valuations, Stoller argues that the real story is how China has weaponized its control over rare earth elements to dictate the pace of global industrial policy. This is not just a trade dispute; it is a structural vulnerability that threatens to pop a speculative bubble built on decades of weak antitrust enforcement.

The Monopoly Fueling the Bubble

Stoller begins by dismantling the narrative that massive capital deployment in tech is purely a result of visionary leadership. Instead, he frames the current AI spending spree as a symptom of concentrated market power. He points to the Metaverse as a cautionary tale, noting that "Mark Zuckerberg changed Facebook's name to Meta, with the idea that virtual reality and augmented reality were going to be the next computing platform, versus social networking, which made all of his company's profit (and still does)." The author argues that this $45 billion gamble was only possible because the firm could extract rents from a captive market of advertisers.

Monopoly round-up: Will the trade war pop the AI bubble?

The core of Stoller's argument is that weak regulatory choices, not genius or bad judgment, are the engines of this capital allocation. He cites a fashion CEO's complaint that customer acquisition costs have skyrocketed, leading to the observation that "everybody's margin becoming Facebook's profits." This concentration of wealth allows a tiny group of executives to make trillion-dollar bets with other people's money, effectively turning the AI boom into "de facto national industrial policy" driven by private interests rather than public planning.

The reason that stream of profit is going to one firm, instead of being disbursed to the millions of businesses over-spending on advertising, is weak antitrust and regulatory choices.

Critics might argue that this view underestimates the genuine technological breakthroughs in machine learning, suggesting that the investment is justified by future productivity gains regardless of market structure. However, Stoller counters that the method of investment matters as much as the destination. He draws a parallel to the dot-com era and the railroad boom, warning that when "the capital development of a country becomes a by-product of the activities of a casino, the job is likely to be ill-done."

The Historical Cost of Bubble Financing

Stoller does not shy away from the historical consequences of such financial engineering. He invokes the Panic of 1873, a crash triggered by railroad over-speculation that had devastating political fallout. He quotes W.E.B. Du Bois to illustrate how economic disillusionment can erode social progress: "The panic of 1873 brought sudden disillusion in business enterprise, economic organization, religious belief and political standards." The author suggests that just as the railroad bubble helped entrench Jim Crow laws by shattering Reconstruction-era politics, a burst AI bubble could destabilize the current political order.

The piece highlights the eerie parallels in today's financial mechanisms. Stoller notes that Nvidia is engaging in "vendor financing," investing in companies that then buy its chips, a practice that "makes revenue appear higher without increasing real revenue." This is compounded by the involvement of shadow banking entities and private credit firms that are pouring capital into data centers without the scrutiny of traditional regulation. The argument is that the sheer scale of this build-out—larger than the telecom boom—is masking a fragility that could be catastrophic if the funding dries up.

The Geopolitical Lever

The narrative shifts sharply to the external threat: China's new export controls on rare earth materials. Stoller explains that the People's Republic of China has unveiled "sweeping global controls on its monopoly of rare earth materials that go into every major tech system built on this planet." This move effectively gives Beijing the power to decide who can participate in the modern economy, specifically targeting the high-end semiconductors essential for AI data centers.

The author reframes the administration's response not as a victory of strength, but as a reaction to a strategic reality. While the White House has issued threats of tariffs, Stoller argues there is "not that much leverage in using those at this point." The situation is the culmination of China's "dual circulation" strategy, a long-term plan to foster domestic independence while making the world dependent on Chinese supply chains. As Stoller writes, "Chinese 'grand economic strategy,' in other words, is to operate as a giant monopoly on which the rest of the world must rely."

China explicitly said that it would focus on rare earths that go into high-end semiconductors. So while China imposed the controls all nations, the U.S. response is especially important.

Stoller acknowledges that the administration's rhetoric often frames this as a sudden act of aggression, but he insists it is a calculated move that has been in the works for years. The leverage is remarkable because it exposes the fragility of the U.S. tech ecosystem. If the data center build-out halts due to material shortages, the U.S. economy could lose its primary growth engine, potentially triggering a recession.

Bottom Line

Stoller's most compelling contribution is connecting the dots between domestic antitrust failure and international geopolitical vulnerability; the AI bubble is not just a financial risk, but a national security liability created by concentrated corporate power. The argument's greatest weakness is its reliance on the inevitability of a bubble burst, a prediction that remains unproven despite historical precedents. Readers should watch whether the administration can pivot from tariff threats to a genuine strategy for diversifying supply chains, or if the monopoly dynamics at home will continue to leave the country exposed abroad.

Sources

Monopoly round-up: Will the trade war pop the AI bubble?

by Matt Stoller · · Read full article

Lots of monopoly news, as usual, including the Pope putting on his anti-monopoly hat, some actually good antitrust decisions at the Supreme Court, a new law in California that lets you opt out of most tracking through a one click toggle in your browser, and new levels of corruption in sports gambling.

But first, I want to focus on the most important monopoly story of the week, which is what China just did with its export regime. The PRC unveiled sweeping global controls on its monopoly of rare earth materials that go into every major tech system built on this planet, meaning that it will decide who gets to participate in the modern economy, including whether Americans can continue to build AI data centers. In fact, China explicitly said that it would focus on rare earths that go into high-end semiconductors. So while China imposed the controls all nations, the U.S. response is especially important. Trump’s rejoinder is that China is “holding the world captive” from a “monopoly position,” and he issued a variety of threats, including tariffs.

To understand the importance China’s decision, we have to start with a storyline that everyone in the financial markets talks about daily, which is the bubble in generative artificial intelligence technology, and how it’s holding up the U.S. economy. Now, AI is a genuine technological innovation, so this essay isn’t attempting to belittle what machine learning can do. But we have to distinguish between engineering advances, and financial investment patterns. And right now, decision-making on investment is coming from a particularly concentrated set of firms controlling profits in the economy, and the small number of people making decisions at those firms have placed their chips, and thus America’s chips, on a large AI data center build-out.

Here’s what I mean. A few years ago, Mark Zuckerberg changed Facebook’s name to Meta, with the idea that virtual reality and augmented reality were going to be the next computing platform, versus social networking, which made all of his company’s profit (and still does). Since then, Meta has spent $45 billion on “the Metaverse,” an odd attempt to popularize tacky virtual reality worlds. While there are some interesting projects coming out of all of this spending, so far it has mostly been a massive money-losing venture. And yet, Zuckerberg’s net worth has doubled, to more than $200 billion, and investors had no problem with this ...