A widespread market selloff driven by persistent inflation and shifting interest rate expectations is testing the financial foundations of the artificial intelligence boom, hitting equity valuations and credit markets across the United States and Asia this week. Specialized “neocloud” infrastructure operators, traditional cloud vendors, and semiconductor manufacturers experienced sharp declines on Wednesday and Thursday as investors reassessed the massive debt structures funding global data center construction.

The downturn followed hotter-than-expected September U.S. inflation data, which remained well above the Federal Reserve’s 2% target and revived anxieties over potential interest rate hikes, according to the Boston Herald and Reuters. On Wednesday, the S&P 500 dropped more than 1%, while cloud provider Oracle fell nearly 9% to 10% and AI compute specialist CoreWeave tumbled 15.5%—its steepest single-day drop since February. The selling continued into Thursday morning, with CoreWeave losing another 3.8% to 6.8% in early trading, chipmakers Nvidia and Broadcom dipping 1.6%, Advanced Micro Devices retreating 3.1%, and power equipment maker GE Vernova falling 3.2% following a 6.2% loss the prior day.

The shockwaves quickly spread to Asian technology markets on Thursday. South Korea’s benchmark Kospi index sank 7.6% to 5,554.22, dragged down by a 9.5% slide in Samsung Electronics and an 11.1% plunge in memory maker SK Hynix. Japan’s Nikkei 225 dropped 4.9% to 64,425.95 as OpenAI investor SoftBank Group lost 9.3%, Tokyo Electron fell 7.8%, and Kioxia Holdings dropped 12.3%. Taiwan’s Taiex fell 3.4%, with Taiwan Semiconductor Manufacturing Co. (TSMC) shedding 2% ahead of its earnings release, despite the foundry reporting record quarterly profits and strong AI demand.

Neoclouds Under Pressure: CoreWeave’s Credit Crunch

At the center of the market’s anxiety is the capital-intensive business model of neoclouds—specialized cloud providers that borrow heavily to purchase graphics processing units (GPUs) and build data centers ahead of customer revenue. As reported by KSL.com, the cost of insuring against U.S. technology defaults reached record highs on Thursday, signaling mounting stress in debt-fueled AI infrastructure deals.

CoreWeave, which remains unprofitable while carrying nearly $50 billion in debt and lease obligations according to LSEG and Reuters data, has faced intense scrutiny in the bond market. Five-year credit default swap (CDS) spreads on CoreWeave blew past 1,000 basis points on Thursday. Market pricing at that level implies a nearly 63% probability of default over the coming five years, more than double the roughly 30% implied risk from a year ago, according to Yahoo Finance. Meanwhile, the company’s 2031 and 2032 bonds traded at distressed levels around 78 cents on the dollar, pushing yields past 16%.

“CoreWeave is quickly becoming the AI trade’s canary in the coal mine,” Kathleen Brooks, research director at XTB, told KSL.com, noting that the sharp bond selloff suggests investors are questioning massive debt issuance used to fund AI expansion.

CoreWeave leadership has pushed back against the credit market’s pessimism. In an internal memo reported by Reuters, CEO Mike Intrator told employees that the company’s contracted backlog more than covers its debt obligations. CoreWeave reported a $104.2 billion revenue backlog at the end of the second quarter and secured more than $25 billion in new commitments early in the third quarter. However, credit analysts point out that a contracted backlog is not equivalent to cash on hand, and operators must still navigate heavy upfront capital expenditures, power acquisition, and construction timelines before recognizing that revenue. Not all specialized providers have been hit equally; while CoreWeave shares are down more than 8% this year, rival operator Nebius—which has no publicly tradable CDS—has seen its stock rise about 120%.

Broader Data Center Debt and Bond Market Fallout

The credit repricing extends well beyond a single company, affecting major tech conglomerates and project-specific infrastructure bonds. According to S&P Global Market Intelligence data cited by KSL.com, five-year CDS spreads for Oracle reached 288 basis points on Thursday, up from 260 basis points a week earlier, while SoftBank’s spreads widened 24 basis points to 424 basis points. Default insurance costs for hyperscalers including Amazon, Alphabet, Meta, and Nvidia also traded at record highs, though their spreads widened at a much slower pace than those of heavily leveraged operators.

In the project finance market, bonds backing specific data center developments have dropped below par. Reporting from the Financial Times via Yahoo Finance revealed that debt tied to Oracle’s Michigan AI campus traded at 88 cents on the dollar, QTS Project Excalibur bonds fell below 87 cents, Hyperion-related Beignet Investor debt dropped below 91 cents, and Hut 8 project bonds traded between 91 and 93 cents.

These price drops reflect growing investor caution over the sheer scale of capital required to build out modern AI compute clusters. Bloomberg estimates that constructing and equipping a single 1-gigawatt AI data center in the Abilene, Texas area costs roughly $30 billion, with more than 60 gigawatts of U.S. data center capacity slated for construction over the next four years. While Morgan Stanley estimates that global AI-linked debt raised in 2026 has reached $466 billion—and narrower Reuters figures track $22.3 billion in dedicated syndicated loans and bond issuance year-to-date—the pace of new borrowing is slowing. Global AI-related debt issuance dropped to $23 billion in September, nearly half of August’s total and down sharply from a peak of $113 billion in June, according to Yahoo Finance.

Volatile Yields and Long-Term Industry Hurdles

The relationship between benchmark interest rates and the current tech selloff has proven complex. While Wednesday’s equity rout was sparked by inflation fears and expectations of higher borrowing costs, the resulting stock market drop triggered a flight to safety in government debt. According to Fidelity and Reuters, the 10-year U.S. Treasury yield actually eased from 5.32% down to a three-week low of 5.0725% on Thursday. Simultaneously, CNBC reported that traders pushed the perceived odds of the Federal Reserve holding rates steady at its October 27–28 meeting up to 72% following cautious remarks from Fed officials.

Even with a temporary dip in benchmark Treasury yields, widening corporate credit spreads mean borrowing remains costly for speculative-grade builders. Meanwhile, explosive top-line growth from leading AI software developers has failed to calm infrastructure debt markets. KSL.com noted that AI developer Anthropic told attendees at a pre-IPO meeting in San Francisco on Wednesday that its third-quarter revenue surged 45% quarter-over-quarter to $16.8 billion as it targets a $2 trillion valuation. Yet hardware executives remain wary of unbridled spending; earlier this week, Broadcom CEO Hock Tan compared the investor rush into anything AI-related to “casino gambling.”

For enterprise IT buyers and technology investors, the credit squeeze points toward a potential wave of consolidation. Research firm Gartner projects that AI data center owners will need to generate $8.5 trillion in cumulative revenue by the end of 2030 just to cover capital and financing costs and deliver healthy returns. Because of these steep financial hurdles and a lack of differentiated services, Gartner forecasts that more than 80% of independent neocloud providers could cease independent operations by 2030, according to CRN Asia.

Why doesn’t a massive revenue backlog protect neoclouds from credit stress?

A contracted revenue backlog represents future commitments rather than immediate cash flow. Neocloud operators must borrow tens of billions of dollars upfront to purchase expensive AI accelerators and construct facilities before customers begin paying for compute capacity. If construction or power delivery is delayed, cash generation is deferred while interest expenses continue to mount.

Are AI borrowing costs rising because of Treasury rates or credit spreads?

Both factors have contributed to the pressure, though credit spreads are the primary driver of the immediate crunch. While the 10-year U.S. Treasury yield eased to around 5.07% on Thursday as investors bought government bonds for safety, corporate credit default swap spreads widened to record highs, meaning lenders are demanding much higher risk premiums to finance data center projects.

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