A selloff in artificial intelligence-linked equities is spilling into credit markets, led by SoftBank Group's U.S. dollar bonds and a widening in spreads across Asian corporate debt. SoftBank's dollar notes due in 2032 fell by 0.9 cents in a single session as the company's shares dropped as much as 16% intraday, illustrating how quickly concerns over AI-related spending are reaching lenders as well as stock traders.
The weakness followed a sharp global equity-market retreat that erased about $2.3 trillion in U.S. market value in one day, according to Bloomberg. Debt tied to technology, data centers and AI infrastructure had already been under pressure after a period of heavy borrowing to finance computing capacity. The latest stock-market turbulence accelerated that repricing.
Credit losses have so far remained more contained than the decline in AI-linked shares. Falling U.S. Treasury yields have cushioned total returns for bondholders, reducing the effect of wider corporate borrowing spreads, said Zerlina Zeng, a credit analyst at CreditSights. Yet the movement in SoftBank's bonds and Asian dollar debt shows buyers are demanding more compensation to hold riskier corporate credit.
Asian dollar debt absorbs the pressure
Average spreads on Asian investment-grade U.S. dollar bonds widened to 73 basis points, their highest level since July 2025, after increasing by at least 3 basis points, according to the market data cited in the supplied report. A credit spread measures the additional yield a corporate borrower must offer above U.S. Treasuries. When spreads widen, bond prices generally fall and companies face higher costs for issuing new debt.
The move was not confined to investment-grade borrowers. Actively traded Asian high-yield bonds also came under selling pressure, reflecting unease about the financing demands attached to large technology projects as well as broader concerns around fiscal deficits, oil prices and inflation.
Asian high-yield credit has faced particular strains from political developments and a pipeline of new bond issuance, Zeng said. More supply can weigh on existing bonds because buyers have a wider selection of debt available, often requiring issuers to offer higher yields to attract demand.
Some parts of the market have proved more resilient. Zeng said October's weakness drew buyers into selected Asian high-yield bonds, including parts of the region's real-estate credit market. That selective demand suggests the selloff has not become an indiscriminate exit from all lower-rated Asian debt, even as financing conditions have tightened for companies most exposed to the AI investment cycle.
AI financing comes under closer scrutiny
SoftBank has become a focal point because its portfolio and financing activity are closely linked to AI and technology infrastructure. Its bond decline came as markets reassessed the scale of capital required to build and operate data centers, which need expensive chips, power capacity, networking equipment and physical facilities before they generate meaningful revenue.
The reassessment is also visible in the market for credit default swaps, contracts used to insure against a borrower failing to repay debt. Bloomberg reported that default-swap spreads for CoreWeave, SpaceX and Broadcom climbed to record highs during the broader technology rout. Rising CDS spreads do not predict a default by themselves, but they show that the cost of protection has increased sharply as traders place a higher price on credit risk.
Andrzej Skiba, head of U.S. fixed income at RBC Global Asset Management, said in a Bloomberg Television interview that hedge funds had sold substantial amounts of AI-related bonds in recent weeks. Such selling can intensify price declines in a relatively concentrated market, particularly when portfolio managers seek to reduce exposure to the same heavily owned theme at once.
ING is seeking to sell roughly $500 million of data-center loan assets, Bloomberg reported. The planned transaction has drawn attention because it would test appetite for debt tied directly to server facilities during a period when lenders are becoming more selective about AI infrastructure exposure. Bids for the portfolio were reported to be due on November 19, and the assets include a $25 million loan stake connected to the Stargate project in New Mexico.
Treasury rally offers only partial relief
Lower Treasury yields have moderated the damage for some bond buyers. Corporate bond returns are affected by both the underlying risk-free Treasury yield and the credit spread charged by a company. When Treasury yields fall, the gain on that component can partly offset losses caused by a wider spread.
That offset does not eliminate the challenge for companies planning to refinance or raise fresh funds. A sustained increase in credit spreads would leave issuers paying more for new borrowing even if benchmark government-bond yields remain lower. For AI-related borrowers, the issue is especially sensitive because many projects require large upfront capital commitments and may rely on repeated access to debt markets.
The credit-market adjustment also places a sharper focus on the difference between companies with established cash flow and those whose valuations depend more heavily on projected demand for AI services. Bonds are less concerned with upside scenarios than equities: lenders primarily assess whether a company can service interest payments and repay principal under less favorable conditions.
Crypto markets face a risk-sentiment channel
The selloff does not establish a direct connection between AI corporate debt and digital-asset fundamentals. It does reinforce a market environment in which leveraged, growth-oriented assets can move together when traders reduce exposure to risk.
Crypto assets have repeatedly reacted to changes in global liquidity, Treasury yields and technology-stock sentiment, particularly during abrupt deleveraging episodes. Wider spreads in AI-linked credit add another indicator that financing conditions for speculative growth themes are being reassessed.
For digital-asset markets, the immediate transmission channel is likely to be sentiment and positioning rather than a direct effect on blockchain networks or token economics. A prolonged rise in corporate borrowing costs could keep pressure on risk appetite across technology and other high-volatility markets, while a stabilization in AI credit spreads would remove one source of stress that has recently spread from equities into bonds.
For deeper insight into AI’s market impact, explore today AI moves shake markets and its implications for risk and liquidity.
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