Treasury Yield Spike Threatens to Inflame the $4.1 Trillion AI Debt Boom

The 10-year Treasury yield sits near 5.17% this week, its highest level since 2007, and that single number is about to make the largest infrastructure buildout in tech history dramatically more expensive to finance.

JPMorgan Chase estimated in June that $4.1 trillion in AI-related debt will be issued through 2030, as data center companies and others tied to the artificial intelligence boom race to build capacity for what many industry experts view as insatiable demand for AI services. Borrowers returning to the market now face a benchmark rate up roughly 1 percentage point since the start of the year, meaning companies issuing debt will have to offer more attractive returns to lure investors.

The market is not in panic mode, at least not yet. Shares of debt-heavy neocloud CoreWeave have held up, rising almost 8% this week. Oracle, which has counted on the debt market for its AI expansion, has fared worse — down 7% for the week and about 30% this year.

Japan's SoftBank, a principal provider of capital for AI projects, raised $11.1 billion in a junk-bond sale this week, with yields as high as 9.75% on the 7-year tranche.

"They basically are price insensitive to that raise, which means they're price takers," said Mark Malek, chief investment officer at Siebert Financial, in an interview. "In my view, a lot of these companies need to be price insensitive. They need to get as much capital as possible to compete."

Why the stakes are enormous

At the center of the AI boom sit OpenAI and Anthropic, each valued at close to $1 trillion in the private market. To supply the infrastructure for their advanced models — and for a host of other companies' models and services — the hyperscalers Amazon, Google, Meta and Microsoft have committed to hundreds of billions of dollars in capital expenditures this year, with an expected increase coming in 2027.

A healthy share of that investment is funded through debt raises. But the tech giants all hold investment-grade credit ratings, which give them cheaper access to capital. For the rest of the pack, bigger challenges lie ahead, according to market participants.

A senior private credit investor, who asked to remain unnamed in order to speak candidly, told CNBC that neocloud deals will become more difficult to finance going forward, because those companies have less cushion to absorb the costs.

Riley Thompson, a vice president at Mitsubishi HC Capital America, said in an interview that lenders are getting pickier about the projects they will fund, even if the borrower agrees to pay a higher rate.

"Instead of a roster of 50 neoclouds, there's probably 20 that the market's truly interested in," Thompson said.

The math is already visible in company filings. CoreWeave, which went public last year, warns about rising rates in its SEC disclosures. In its latest quarterly filing, the company said that as of June, every 100-basis-point increase in rates could result in a $30 million jump in its interest expense, based on the balance of its outstanding floating-rate debt.

Warning signs on multiple fronts

An early warning sign may have landed this week. Oracle's stock slid following a Bloomberg report that the company sent a "force majeure" notice tied to its New Mexico data center project to protect itself from higher expenses. According to the report, Oracle is looking to delay payment on the campus — dubbed Project Jupiter — if it fails to come online as expected in 2028. Oracle said the project "remains on our planned schedule."

Rising interest rates are not the only headwind. Prior to this week's spike in yields, the CEOs of Anthropic and OpenAI had begun urging a slowdown in the pace of AI development, after industry researchers went public with concerns that advanced models risk spinning out of human control.

A nationwide backlash against AI data centers has also emerged as a major issue heading into November's mid-term elections. In a recent NBC News Decision Desk Poll, powered by SurveyMonkey, 69% of respondents said they oppose the construction of such facilities in their local area. On Monday, Texas Republican Gov. Greg Abbott — locked in a tight race for reelection — ordered a temporary halt to all data center-related environmental permits, following a moratorium on grid approvals last month.

Demand keeps pulling the other way

Still, demand for AI services is exploding. Meta's Muse personal assistant app has rocketed in popularity since launching earlier in September, logging more than 2.5 million global downloads in its first two weeks and passing ChatGPT at the top of Apple's App Store. Evercore's Mark Mahaney told CNBC this week that Muse could reach 100 million users within six to 12 months.

That demand dynamic explains why many financiers see the debt machine continuing to run. Andrew Giudici, global head of corporate, project, and infrastructure finance at credit rating agency KBRA, said that even as rising rates may affect future deals, he does not expect a major impact on borrower demand.

"In a normal environment, people might take a step back and pause a bit," Giudici said. "But I don't think that's going to happen here. I think you're going to continue to see relatively large issuance."

Haim Zaltzman, vice chair of Latham & Watkins' emerging companies and growth practice, said there is no doubt that as costs rise, "somebody will have to absorb it."

"But absorbing it in that kind of demand structure, where the demand is so great, is a lot easier," said Zaltzman, who works on AI infrastructure financing.

The equation is even simpler for Bernie Margulies, CEO of American Compute, which advises on risk management for GPU financing. He said borrowers are eager to secure financing even at higher costs — especially those holding commitments with OpenAI and Anthropic, which have been signing contracts to lock in compute capacity years into the future.

"If you have a deal with Anthropic, will 50 basis points really stop you?" Margulies said.

The coming months will test that confidence. If yields stay near multi-decade highs while political resistance to data centers grows, the gap between the roughly 20 neoclouds lenders want to fund and the 50 seeking money will define which AI infrastructure players survive the buildout.