Billionaire investor Ray Dalio issued his starkest warning yet this week: the artificial intelligence boom is a "classic bubble," and markets are approaching the point where it bursts. Speaking at the Forbes Global CEO Conference in Singapore on October 7, the Bridgewater Associates founder pointed to two trends on a collision course — enormous debt funding the AI buildout, and interest rates climbing to multi-decade highs.
Dalio's core argument is straightforward. Technology giants are borrowing hundreds of billions of dollars to build data centers, buy chips, and secure the power to run them, while global bond yields have climbed to levels not seen in decades. As the debt piles up, the cost of carrying it keeps rising. "We're in that part of the cycle that is before that, but approaching that," Dalio said. "I think we're close to that." He shared the stage with Franklin Templeton CEO Jenny Johnson, along with executives from Temasek Holdings and Bangkok Bank, who acknowledged that heavy borrowing by tech firms is making the true returns on AI spending harder to track.
Dalio placed the AI boom directly alongside the 1929 stock market crash and the dot-com bubble of 2000. His logic: a technology can genuinely transform the world while the investments built around it end in disaster — railroads, automobiles, and the internet all changed everything without protecting every investor who financed their expansion. He stressed that he is not an AI skeptic. The issue is not that the technology is overhyped; it is that the money behind it is getting more expensive. AI demands astronomical amounts of capital, and increasingly that capital comes from debt rather than equity.
Dalio also spelled out the mechanism that pricks bubbles: paper wealth and cash are not the same thing. "Everybody says 'I'm worth a billion dollars' but OK, try to spend that — in order to spend that you have to sell wealth in order to get money." When enough investors and companies need cash at the same time and are forced to liquidate assets, prices fall because of need, not because opinions changed. He warned that wealth taxes on unrealized gains could accelerate the dynamic — Dalio even suggested wealth taxes could be "the pin that pricks the AI bubble."
The irony is that the S&P 500 and Nasdaq 100 both hit record highs in the same week as Dalio's remarks, as optimism over technology earnings drowned out valuation concerns. But market breadth is deteriorating: fewer than half of S&P 500 constituents still trade above their 200-day moving averages, with gains concentrated in a handful of large-cap AI beneficiaries. Reuters reported that the AI mood has sobered at the Singapore forums, with "existential threats" joining bubble fears in the discussion. This is not Dalio's first warning either: back in June 2026, he said the U.S. was entering a high-risk fiscal period between the 2026 midterm elections and the 2028 presidential election, citing rising deficits and falling demand for U.S. government bonds.
Dalio laid out three signals that tend to appear when a bubble starts to unwind. First, forced selling to raise cash — investors or companies liquidating assets to meet obligations. Second, a surge in new stock supply — heavy issuance that dilutes existing holders and soaks up the demand that was lifting prices. Third, rising retail leverage — everyday investors borrowing to chase the trend, so any downturn gets amplified by margin calls. Markets will watch in the coming weeks whether rising yields and concentrated tech valuations begin to weigh on sentiment. Nobody knows whether or when the bubble pops — but Dalio's message this time was blunt: it is not a question of if, but of how close.