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AI Debt Risk Hits Record Levels as CoreWeave CDS Tops 1,000 Basis Points

AI debt risk has moved to the center of global market concerns after the cost of insuring several major artificial-intelligence-linked companies against default rose to record levels, signaling that investor anxiety has spread from share prices into the credit market.

Five-year credit default swap spreads on CoreWeave surged above 1,000 basis points, while Oracle reached a record 288 basis points and SoftBank widened to 424, according to LSEG and S&P Global Market Intelligence data cited by Reuters.

AI debt risk: What does a 1,000-basis-point CDS mean?

A credit default swap, or CDS, is a financial contract commonly used to protect investors against a credit event involving a bond issuer.

The wider the spread, the more investors are paying for that protection and, broadly, the greater the credit risk being priced by the market.

A sharp increase does not mean a company will necessarily default. It indicates that investors are demanding substantially more compensation to insure its debt.

CoreWeave sits at the center of the concern

CoreWeave has become a focal point for investors because of the scale of borrowing supporting its rapid data-center expansion.

The loss-making cloud and data-center operator owes nearly $50 billion, according to LSEG data cited by Reuters.

Its CDS spread has moved above 1,000 basis points, while bonds due in 2032 have traded at around 77 cents on the dollar.

CoreWeave shares also fell about 15% on Wednesday and lost further ground after the closing bell.

Oracle default insurance reaches a record

Credit concerns are not limited to younger AI infrastructure companies.

Oracle’s five-year CDS widened by 26 basis points overnight to a record 288 basis points.

At that spread, Reuters noted that the quoted protection cost is equivalent to roughly $2.88 to insure $100 of bonds, illustrating how sharply investor perceptions of credit risk have changed.

SoftBank, Nvidia and Big Tech are also affected

SoftBank’s five-year CDS widened to 424 basis points.

Credit protection spreads for Amazon, Alphabet, Meta and Nvidia also reached record wides, according to market data, although their spreads remained far below those of Oracle and CoreWeave.

The difference reflects the stronger balance sheets and cash generation of the largest technology companies compared with infrastructure businesses that rely more heavily on debt.

Why data-center financing matters

The AI boom requires extraordinary spending on data centers, advanced chips, electricity, networking and cooling infrastructure.

When interest rates and bond yields rise, financing those projects becomes more expensive.

Investors are therefore asking whether future AI revenue will arrive quickly enough to cover the interest and debt accumulated during the buildout.

Tech selloff spreads across Asia

Credit concerns coincided with another sharp technology selloff in Asian markets.

South Korea’s KOSPI fell almost 8%, while Japan’s Nikkei dropped about 5%.

Samsung Electronics lost nearly 10%, SK Hynix and Kioxia dropped more than 11% and SoftBank fell more than 9%.

The market move increasingly reflects a reassessment of the price investors are willing to pay for AI growth when the cost of capital is high.

Wall Street faces another difficult session

Nasdaq futures fell more than 1% as the AI selloff continued into Thursday.

CoreWeave dropped again in premarket trading, while Oracle and semiconductor companies including Nvidia, Micron and AMD also came under pressure.

Profile News reported a day earlier that the AI stock selloff erased roughly $80 billion from the combined market value of several major AI-linked companies.

AI demand itself remains strong

The credit-market stress does not necessarily mean demand for artificial intelligence is collapsing.

TSMC reported a 69% increase in third-quarter net profit to a record level, while semiconductor-equipment maker ASML continues to report strong forward demand linked to AI infrastructure.

The market is therefore distinguishing between demand for the technology and the price companies are paying to finance its expansion.

Is this an AI debt crisis?

It is too early to describe the current situation as a broad default crisis.

However, the movement from equity-market concerns into bonds and credit-default protection is significant because credit investors focus closely on cash flow, leverage and debt-servicing capacity.

The next test for the AI boom will be whether companies can turn record infrastructure spending into sufficient revenue before higher financing costs place greater pressure on their balance sheets.

Sources

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