The global surge of investment into artificial intelligence has ignited fears of a new financial bubble, with companies pouring trillions into the sector amid sky-high valuations and mounting investor euphoria. The warnings come as tech stocks stumble and analysts debate whether the AI revolution is entering a dangerous speculative phase reminiscent of the late 1990s dot-com boom.
A survey by BofA Global Research found that 54% of fund managers now believe AI stocks are in a bubble, compared with just 38% who disagree. The findings reflect growing concern that the massive capital being deployed toward AI — from data centers and chips to software startups — may have outpaced realistic demand or returns.
The Bank of England issued one of the sharpest warnings so far, saying that global markets could “tumble” if sentiment turns against artificial intelligence. In an October update, the central bank’s Financial Policy Committee cautioned that “the risk of a sharp market correction has increased,” calling potential spillovers to the UK’s financial system “material.”
Others in the financial world have echoed that unease. Bryan Yeo, chief investment officer of Singapore’s sovereign wealth fund GIC, described a “hype bubble” emerging in early-stage ventures. “Any startup with an AI label will be valued at huge multiples of its tiny revenues,” he said at the Milken Institute Asia Summit. “That might be fair for some companies — but probably not for others.”
Even tech industry veterans are expressing caution. Amazon founder Jeff Bezos told a crowd at Italian Tech Week that investor excitement over AI is blurring judgment. “Every experiment gets funded,” he said. “And investors have a hard time distinguishing between the good ideas and the bad ones.” Still, Bezos noted that industrial bubbles can have silver linings. “When the dust settles and you see who the winners are, society benefits from those inventions.”
Others are less alarmed. Goldman Sachs economist Joseph Briggs said the surge in AI infrastructure investment remains “sustainable,” arguing that the macroeconomic case for AI remains robust even as the identity of the “ultimate winners” remains uncertain. ABB chief executive Morten Wierod also rejected talk of a bubble, instead pointing to logistical constraints. “We are talking about trillions in investment,” he told Reuters. “It will take years to implement because there aren’t enough people and resources to build all this.”
But skeptics abound. Michael Burry — the famed investor who predicted the 2008 financial crash — has taken bearish positions against AI leaders such as Nvidia and Palantir, warning that current valuations are unsustainable. Likewise, OpenAI CEO Sam Altman admitted in August that the AI investment climate has become overheated. “Are investors overexcited about AI? My answer is yes,” Altman said. “Someone is going to lose a phenomenal amount of money — and a lot of people are going to make a phenomenal amount.”
International Monetary Fund Chief Economist Pierre-Olivier Gourinchas compared the AI boom to the dot-com bubble but argued that any fallout would likely be contained. “This is not financed by debt,” he said. “If there is a correction, some shareholders will lose out, but it won’t crash the global economy.”
Despite widespread warnings, few investors are pulling back. UBS strategists reported that while most institutional investors agree an AI bubble exists, roughly 90% remain heavily invested in the sector. “They believe we are in a bubble — but not yet at the peak,” the bank said.
For now, the AI gold rush continues to power markets, even as fears grow that optimism may have outpaced reality. Whether the boom will end in a correction or usher in a genuine productivity revolution remains the trillion-dollar question.
