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East MoneyUpdated Nov 3 13:17

White House National Economic Council Director Hassett responds to tech stock plunge: The AI industry has ample cash, and there is no risk of a broad sell-off

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White House National Economic Council Director Kevin Hassett responded to the recent tech stock plunge, saying that this adjustment does not mean the AI industry faces the risk of a broad sell-off, that funds within the industry ecosystem remain ample, and that companies with strong financial strength can step in to acquire or provide funding support when enterprises run into trouble. He acknowledged that some companies carrying huge debts are worth watching, but believes that a market pullback after a strong rally is normal. The article also points out that AI industry financing is increasingly reliant on debt, with AI-related debt issuance expected to exceed $600 billion by 2026, about 10 times that of 2024, and that yields on some bonds and loans related to data centers and chip manufacturing have risen to double digits.

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The optimistic remarks by the White House official contrast with rising yields on AI debt financing, which readers can use to understand the current disagreement over the sources of funding for AI infrastructure investment.

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Kevin Hassett, director of the White House National Economic Council, responded to the recent plunge in technology stocks in a latest interview on Monday. He made clear that this adjustment does not mean the artificial intelligence (AI) industry faces a risk of a full-scale sell-off, and stressed that funds within the industry's ecosystem remain ample.

Hassett acknowledged that some companies may be carrying massive debt, a phenomenon that is indeed worth watching. But he also pointed out that there are many financially strong companies in the industry that hold both equity and debt in the relevant companies, and if a company runs into trouble, these companies can step in to acquire it or provide funding support.

"There is plenty of cash in this ecosystem, and I think people should feel reassured by that," Hassett said. He added that after the previous strong rally, the market sometimes does need a certain pullback, but he believes there is absolutely no risk of a full-scale sell-off.

Hassett's remarks came as the artificial intelligence (AI) trade is undergoing a new round of adjustment. Last week, the technology stock sell-off intensified, with both Google and Intel's guidance falling short of expectations, further weakening investors' confidence in the returns on AI infrastructure investment.

Market concerns about the AI industry have gradually shifted from whether companies can sustain rapid growth to whether massive capital expenditures can be converted into sufficient revenue and cash flow. Although the latest earnings reports from major AI builders show that cloud computing businesses are still growing strongly, investors' attention is turning to data center construction costs and the pressure these investments place on companies' free cash flow. As capital expenditures continue to climb, the market's return requirements for large technology companies are also rising.

Previously released earnings reports show that Alphabet, Amazon and Meta have all further increased their AI-related investment plans. At the same time, some companies' free cash flow is under significant pressure, prompting investors to question the source of funding for their continued expansion.

Pressure in the AI infrastructure financing market is also becoming increasingly evident. Yields on some bonds and loans used for data centers and chip manufacturing have risen to double digits, and it is becoming increasingly difficult for banks to transfer related financing risks to insurers and other investors. The market is particularly focused on specialized AI computing service providers known as "neoclouds," which typically need to invest heavily upfront to build computing facilities and then gradually recoup costs by renting out computing power.

According to media reports, financing in the AI industry is increasingly reliant on debt, and AI-related debt issuance is expected to exceed $600 billion by 2026, about 10 times that of 2024. As global interest rates rise, the cost of capital is becoming an unavoidable constraint on AI infrastructure investment.

Hassett's optimistic remarks stand in sharp contrast to the actual pressure in the financing market. On the one hand, the White House is trying to play down market concerns about an AI bubble and emphasize that the industry has ample internal capital and self-repair capacity. On the other hand, the rapid expansion of debt and rising yields reflect investors' growing doubts about the return cycle of AI infrastructure.

Analysis points out that for market participants, the key question is whether, as the cost of capital continues to rise, AI companies that rely on debt expansion can maintain cash flow balance, and whether, as Hassett said, financially strong companies will really step in to take on risk when necessary.

(Source: Cailian Press) Mid-article embedded advertisement

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