BlackRock CEO Larry Fink Predicts AI Bankruptcies—and Says That’s OK

BlackRock CEO Larry Fink isn’t dismissing the possibility of turbulence ahead for some of the biggest names in artificial intelligence. In fact, he anticipates it. Speaking at BlackRock’s 2026 Infrastructure Summit this week, Fink stated that at least “one or two” major AI companies are likely to face bankruptcy, a candid assessment of the current, rapidly evolving landscape.

“That’s capitalism. We’re going to have some huge successes, and we’re going to have a couple failures. OK. I’m good with that,” Fink said, framing potential bankruptcies as a natural consequence of intense competition and innovation. His comments come as capital expenditures from hyperscalers – the companies building and operating the massive data centers needed to power AI – are predicted to surge to $650 billion over the next 12 months, a nearly 70% increase from the $380 billion invested in 2025, according to investment banking advisory firm Evercore ISI.

The Race to Avoid Being “Third”

Fink’s acceptance of potential failures isn’t a signal of indifference to the risks. Rather, it underscores his belief that aggressive investment is crucial, particularly for the United States to maintain its competitive edge against China in the AI race. He recounted a recent conversation with the CEO of an unnamed hyperscaler, who expressed a willingness to overinvest in the short term to avoid falling behind. “The one thing I can notify you with certainty, I can’t be third,” Fink relayed the CEO saying.

This sentiment highlights the high-stakes nature of the current AI arms race. Companies are pouring capital into infrastructure, research, and development, driven by the fear of being left behind. The pressure to secure a leading position is so intense that some are willing to accept short-term losses in pursuit of long-term dominance. This dynamic, however, also creates a vulnerability to bankruptcies as not all players will be able to sustain the level of investment required.

Capital Expenditure and Rising Debt

The massive capital expenditures are already raising concerns about the financial health of some Large Tech companies. Evercore ISI noted that this spending could lead some companies to experience negative cash flow – spending more than they bring in – a “red flag” for stock valuations. While these companies currently have manageable corporate debt levels, those levels are increasing alongside the rising capital expenditures.

Amazon, Alphabet, Meta, Microsoft, and Oracle collectively issued $121 billion in corporate bonds in 2025, a significant jump from the $28 billion averaged over the previous five years, according to Bank of America analyst Yuri Seliger. Oracle, in particular, has been particularly active in the debt market, issuing $26 billion in bonds last year and planning to issue between $45 billion and $50 billion this year. This increased reliance on debt financing underscores the financial strain that the AI race is placing on these companies.

BlackRock’s Perspective on the AI Boom

Despite the potential risks, Fink remains optimistic about the overall benefits of the AI boom. He described the competition among the major hyperscalers as “capitalism at its best,” praising their efforts to develop and refine AI models. He also noted that their returns on equity remain strong, even compared to BlackRock’s own performance. “Their return on equity is still better than mine and I have a pretty good return on equity,” he said with a laugh.

Fink’s comments reflect a broader view that the long-term benefits of AI – increased productivity, innovation, and economic growth – outweigh the short-term risks of potential failures. He believes that the competitive dynamics of the market will ultimately drive progress and ensure that the most innovative and efficient companies succeed.

The Broader Economic Implications

The potential for AI-related bankruptcies raises broader questions about the stability of the financial system. While the major hyperscalers are currently well-capitalized, a wave of failures could have ripple effects throughout the economy. The debt held by these companies is widely distributed among investors, and a default could lead to losses for bondholders and other creditors.

the AI boom is driving demand for a wide range of goods and services, from semiconductors to data center infrastructure. A slowdown in AI investment could negatively impact these industries, leading to job losses and reduced economic activity. As reported by Business Insider, Fink also addressed concerns about the US losing ground to China in the AI race during a panel at the World Economic Forum in Davos, Switzerland, emphasizing the need for Western cooperation.

What’s Next for AI Investment?

The coming months will be critical for assessing the sustainability of the current AI investment boom. Investors will be closely watching the financial performance of the major hyperscalers, looking for signs of stress or weakness. Any indication that these companies are struggling to generate sufficient cash flow could trigger a sell-off in their stock and bonds.

Regulatory scrutiny of the AI industry is also likely to increase. Policymakers are grappling with the potential risks of AI, including job displacement, bias, and security threats. New regulations could impose additional costs on AI companies, potentially exacerbating the financial pressures they are already facing. The pace of innovation and the evolving regulatory landscape will continue to shape the trajectory of the AI industry, and determine which companies ultimately thrive and which ones falter.

BlackRock did not immediately respond to Fortune’s request for comment.