Ken Griffin Says AI is ‘Almost Certainly’ in a Bubble, But Advises Investors Not to Panic

Ken Griffin, the billionaire founder and CEO of Wall Street trading giant Citadel, stated on Tuesday that investors are “almost certainly” navigating an artificial intelligence market bubble. However, even as valuations soar, the prominent hedge fund manager is not advising investors to dump their AI holdings, drawing a historical parallel to the internet boom of the late 1990s.

Speaking at Citadel’s Future of Global Markets Conference in New York on October 20, Griffin outlined a pragmatic view on the current technology wave that has dominated global equity markets. While acknowledging the speculative excess surrounding artificial intelligence, he emphasized that major structural transformations throughout economic history almost always go hand-in-hand with periods of intense market overvaluation.

“What’s left in the wake of these bubbles, if we want to use that word, is often game changing for the world. And the companies that are on the other side of that bubble are the market leaders for decades to come,” Griffin said during the conference. He added that looking back at the internet boom, he personally wishes he had held onto his early Amazon stock rather than exiting prematurely.

The debate over the sustainability of artificial intelligence valuations extends far beyond specialized tech investors. Because the massive infrastructure buildout for AI has underpinned broader equity markets over the past year, millions of everyday investors hold a slice of the sector through index funds and retirement accounts. In financial terms, a bubble occurs when asset prices climb far faster than the underlying businesses can justify through fundamental performance, creating a precarious environment until corporate reality eventually catches up with market expectations. Citadel operates as a premier hedge fund, a private firm investing capital on behalf of wealthy individuals and institutional clients.

Despite the clear indicators of speculative fervor, Griffin argues that the presence of a bubble is not an existential threat to long-term investors who maintain a broad perspective. Any radical economic transformation is generally intertwined with speculative excess, he noted. Griffin stopped short of predicting an imminent market collapse, pointing instead to the tangible productivity gains his own firm has experienced. He highlighted that advanced AI agents—sophisticated software capable of carrying out multi-step tasks autonomously—have dramatically streamlined internal operations at Citadel, cutting certain high-level research processes down from weeks to a mere couple of hours.

To illustrate the potential risks facing hardware manufacturers, Griffin compared graphics processing units (GPUs), the specialized computer chips used to train and run complex AI models, to airline seats. Both commodities share a very low marginal cost to run, meaning the extra expense of serving one more customer is virtually negligible. Consequently, when overall market supply outstrips actual demand, prices can experience severe downward pressure and sudden collapses.

Griffin drew a direct comparison to the telecommunications boom around the year 2000. During that era, companies aggressively laid far more fiber-optic cable than immediate market demand required, eventually causing communication prices to plummet. Looking ahead, he expressed skepticism that older generations of computer chips—hardware that is five or six years old and currently commands rental rates he described as extraordinary—will maintain that pricing power for another five or six years.

Corporate adoption has also shown signs of friction and strategic maturation. Buyers are becoming significantly more selective, Griffin noted, carefully analyzing which business tasks genuinely justify premium models from leading labs like OpenAI and Anthropic, and which tasks can be handled efficiently by cheaper open-source alternatives that any enterprise can download and run on its own local hardware infrastructure. Corporate America’s ability to extract tangible financial value from AI has been uneven at best, with executive teams increasingly studying steep invoices from artificial intelligence labs and asking hard questions about where the promised productivity gains are materializing.

Independent forecasts highlight the sheer scale of financial capital flowing into the sector. Market research firm Gartner has forecasted that worldwide AI spending will reach nearly $1.5 trillion for 2025, a massive tally encompassing everything from cutting-edge silicon chips and server architecture to consumer devices like AI-enabled phones. Meanwhile, Nvidia CEO Jensen Huang stated at Davos in January that the industry is still only “a few hundred billion dollars” into what he characterized as the largest infrastructure buildout in human history, with trillions more in investments required in the years ahead. If corporate customers ultimately balk at premium pricing structures, the major chipmakers and cloud computing providers relying on that robust spending would feel the financial impact first.

The delicate balance of risk and leverage in the sector was underscored earlier this year. On July 30, Situational Awareness, a specialized hedge fund founded by former OpenAI researcher Leopold Aschenbrenner, sold the vast majority of its public stock portfolio to Citadel at roughly a a 10% discount after its fund value reportedly plunged about 67% in July. The fund had utilized high financial leverage, borrowing as much as four times its operating capital to aggressively accumulate AI stocks. As market prices retreated, lenders repeatedly demanded additional collateral to secure the loans.

When falling asset prices force liquidations driven by lender margin calls rather than deliberate investment choices, it triggers a phenomenon known as forced selling. This dynamic tends to feed upon itself, as each successive wave of liquidations pushes market prices lower, thereby triggering additional margin demands elsewhere in the financial ecosystem. However, Citadel moved quickly to stabilize its exposure. Griffin wrote in an August client letter that the firm had successfully shed more than 80% of the aggregate risk associated with that specific portfolio, demonstrating that even while publicly warning about an unfolding market bubble, Citadel was positioned to acquire discounted assets from distressed sellers.

Broader macroeconomic pressures continue to loom over the financial landscape as well. Earlier in the year, Griffin warned that if the Strait of Hormuz—a critically important global oil shipping lane—were to remain closed for an extended period of six to 12 months, energy prices would rise materially and potentially push the global economy into a recession.

On Wall Street, equity analysts are already anticipating a deceleration in capital spending by the largest infrastructure builders. Research published by Goldman Sachs in December noted that growth in capital expenditure poured into advanced chips and massive data centers by leading AI firms is expected to slow from 75% in the third quarter of 2025 down to 25% by the end of 2026. As corporate budgets tighten and the market separates speculative hype from sustainable productivity, the true test for the artificial intelligence era is only just beginning.