The Four Horsemen of the AI Bubble Apocalypse

Derek Thompson

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The Four Horsemen of the AI Bubble Apocalypse<br>The smartest reasons to worry about the state of AI in an age of intense volatility—and my best attempt to explain why each of those worries might be wrong.

Derek Thompson<br>Jul 31, 2026<br>∙ Paid

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Horse names, from left to right: Death (of hyperscaler free cash flow), Conquest (of recursive self-improvement), War (between open-weight and closed frontier models), and Famine (with anti-AI populism or regulation starving America’s AI firms of data centers and other resources)<br>AI is doing so many things at once that it’s hard to follow the plot. Somehow, all of this has happened in just the last two weeks:<br>On July 16, the Chinese company Moonshot AI released Kimi K3, a hugely impressive open-weight model that approaches the performance of the best American-made AI while costing a fraction of the price, intensifying fears that—as in so many industries—cheap Chinese products could soon overwhelm American competitors.

On July 21, OpenAI acknowledged that one of its AI agents had escaped its testing sandbox and hacked into another company, Hugging Face, marking what seemed like the worst autonomous AI hack in recorded history … until Anthropic announced three similar breaches just one week later.

On July 22, Alphabet disclosed that its quarterly free cash flow had turned negative for the first time in the public company’s history, as AI capital spending overtook the cash generated by its core businesses.

On July 29, Meta announced its latest earnings, and when investors digested the results, its stock plunged nearly 10 percent in 24 hours. The company’s AI investment has obliterated free cash flow, and analysts now worry that Zuckerberg has no plan to turn his AI investment into returns.

On July 30, one of the most famous AI funds crashed out and sold off the bulk of its portfolio, after South Korea’s AI-fueled stock boom abruptly imploded, with its major index plummeting by more than 40 percent over several trading sessions.1

If I had to shove all of these developments into one sentence, I might pick this one: The capabilities of AI are becoming more powerful, while the economic underpinnings of the AI buildout—and, as we’ll discuss, the political support for AI—are becoming more vulnerable.<br>Beyond the headlines, I see four main categories of risk facing AI, or four horsemen of the potential AI bubble apocalypse. They include spending risk, revenue risk, political risk, and technological risk. In today’s essay, I’m going to break down each risk and—because in this field, nothing is certain—I’ll offer my favorite counterargument to each. This way, you’ll get a sense of both why the market seems to be souring on parts of the AI megaproject and what the market and its interpreters might be missing.<br>Risk 1: The hyperscalers are running out of cash

Source: JPMorgan/Cembalest<br>Everybody’s heard the old cliché, “During a gold rush, sell shovels.” Well, the shovel-makers are overtaking the miners, which has historically been a warning sign in industrial buildouts.<br>Just two years ago, free cash flow2 from Amazon, Alphabet, Meta, Microsoft, and Oracle exceeded $200 billion. Now it has collapsed to below zero. The hyperscalers have spent so heavily on AI that their capital expenditures have gobbled up their cash. Meanwhile, the companies selling chips and semiconductor equipment are sleeping on mattresses made of money: For Nvidia, Micron, Broadcom, and AMD, free cash flow has surged above $400 billion.

What do you do if you want to keep spending but you’re run out of your own cash? Borrow from someone else, of course. Today, about 30 percent of hyperscaler capex is being met with new debt. That share has tripled in the last few years. The four largest tech borrowers have issued more than $170 billion in corporate bonds this year, which is roughly the size of the UK’s entire annual budget deficit.3

I think it’s worth pausing here for a brief moment to reflect on how crazy this is. Just a few years ago, a popular criticism of the software giants—indeed, of American capitalism—was that big companies hoarded their cash piles and refused to reinvest their profits in new ideas. But that era is over. Today those same companies have depleted practically all of their cash flow. To thicken the irony, capitalism’s critics seem to hate this new era of unprecedented corporate investment even more than they than they hated the era of corporate cash hoarding. (More on that in Part 3.)<br>The eruption of hyperscaler debt issuance is leaving its mark on credit markets. Hyperscaler bond spreads— that is, the extra interest investors demand above US Treasury bonds to lend to companies like Microsoft and Amazon—have widened. Investors still trust the credit quality of Big Tech, but they’re asking for higher yields to absorb an unprecedented wave of AI-driven debt issuance. (Oracle is the major...