CoreWeave (NASDAQ:CRWV) has faced a substantial selloff in its bonds, raising questions among credit investors about the financing costs and risks associated with the expansion of artificial intelligence infrastructure.
The data centre operator’s bonds, issued in June with a yield of 9.675%, have declined in price, pushing their yield to approximately 15% this week. The increase reflects changing investor assessments of the company’s borrowing requirements and the wider risks associated with debt-funded AI projects.
Analysts and portfolio managers said the movement in CoreWeave’s debt could have broader implications for companies seeking financing to construct data centres and acquire the computing equipment required for AI applications.
The decline in CoreWeave’s bonds has attracted attention because debt markets play an increasingly important role in financing the expansion of AI infrastructure.
Unlike equity investors, bondholders focus primarily on a company’s ability to meet interest payments and repay borrowed funds.
The increase in CoreWeave’s bond yield from 9.675% at issuance to approximately 15% indicates that investors are demanding a higher return to hold its debt.
Max Frumes, global head of distressed and leveraged finance at corporate credit data and analytics company 9fin, described CoreWeave as an early indicator of pressure in the sector.
“CoreWeave is absolutely the canary in the coal mine,” Frumes said, referring to the growing financial pressures affecting AI-related borrowing.
He expects the reassessment of risk to influence other companies financing large-scale AI infrastructure projects.
“This is going to be a turning point in the pricing and availability and structure of credit that’s supporting the AI boom,” Frumes said.
“It’s going to get more expensive. There will be a lot more scrutiny and probably some pushback from investors.”
Frumes believes that other AI-linked debt instruments could also move into distressed territory as investors reassess the risks associated with the sector.
CoreWeave’s share price also declined during the week, although the movement was broadly consistent with weakness across other companies providing cloud computing infrastructure for AI applications.
The company’s shares fell 15.1% between Monday’s opening and Thursday’s closing prices.
The decline occurred despite a 6% gain on Thursday following an expression of support from CoreWeave partner Nvidia.
Other companies in the so-called neocloud segment, including Nebius and Iren, also experienced share price weakness.
However, some analysts consider the developments in CoreWeave’s bonds more significant than the decline in its shares because of the potential implications for future borrowing costs and access to credit.
Portfolio managers said they are becoming more selective when assessing debt issued by companies involved in AI infrastructure development.
John Han, a portfolio manager at fixed-income investment firm F/m Investments, said his team was reviewing its exposure to the sector.
“We’re definitely taking another look at our exposures across the AI infrastructure space, particularly where the risks are concentrated and whether we’re being adequately compensated for taking them,” Han said.
F/m Investments holds unsecured CoreWeave bonds through an exchange-traded fund that tracks an index containing the securities.
Han explained that the bonds were included because of the ETF’s index composition rather than a separate decision to purchase the company’s debt.
At their current yields, the securities “certainly deserve another look,” he said.
Han generally favours high-yield investments structured through special purpose vehicles, which may offer lower returns but provide additional collateral and potentially lower credit risk.
Larry Holzenthaler, senior fixed-income portfolio manager at Catalyst Funds, said investors were increasingly distinguishing between borrowers based on their debt levels and operating conditions.
“The market is being very selective and really singling out anything that has more leverage, and (that may be) in a bit more challenging operating environment,” Holzenthaler said.
He also suggested that the recent market reaction could reflect a substantial change in sentiment rather than an entirely new assessment of the underlying risks.
Several of the factors currently affecting AI-related debt were already present when CoreWeave issued its bonds in June.
These included the scale of capital requirements, reliance on external financing, high leverage and the possibility that graphics processing units (GPUs) purchased for data centres could become outdated before new facilities begin operating.
“A few months ago, I would have said people were just too optimistic around AI,” Holzenthaler said.
His assessment suggests that some investors may previously have placed less emphasis on risks that are now receiving greater attention.
Deutsche Bank’s global head of macro and thematic research, Jim Reid, said the AI investment cycle is entering a phase in which debt financing is becoming increasingly important.
Earlier infrastructure investment was supported to a greater extent by corporate free cash flow, while the scale of current projects is increasing the need for external borrowing.
“As we move to a capex cycle funded out of debt rather than simply free cash flow, we have to increasingly respect the credit price action,” Reid wrote in a recent report.
“AI financing costs aren’t dramatic overall, but there are worrying themes at the edges.”
His comments highlight the importance of credit market conditions for companies planning substantial expenditure on computing facilities, equipment and supporting infrastructure.
Higher borrowing costs can affect project economics, particularly when expected revenue depends on facilities that have yet to begin commercial operations.
Vanguard bond portfolio manager Brad Collins said evaluating AI-related debt has become more complicated as issuers bring increasingly large and varied financing transactions to market.
Investors may have only a limited period to assess new offerings, sometimes needing to make decisions within days or hours.
The increasing complexity of debt structures, combined with the scale of funding requirements, has placed additional demands on credit analysis.
Inflation has also contributed to higher financing costs across the broader economy, affecting the assumptions underlying large capital expenditure programmes.
These conditions have increased attention on the timing of future cash flows, refinancing requirements and the value of collateral supporting AI infrastructure loans.
Beyond financial considerations, AI infrastructure developers face questions about planning approvals and the electricity requirements of new data centres.
The expansion of computing facilities has attracted political attention, particularly in relation to power prices and local infrastructure.
Dan Ives, partner and technology analyst at investment firm Yorkville Ives, estimated that between 5% and 10% of planned AI infrastructure projects may ultimately not proceed.
“The growing noise around data center permitting and midterm rhetoric on power prices has given investors another reason to step back,” Ives said.
The estimate reflects uncertainty surrounding project approvals, construction requirements and operating costs rather than a confirmed cancellation rate.
The increase in CoreWeave’s bond yields illustrates the changing conditions facing companies seeking to finance AI infrastructure through debt markets.
While demand for computing capacity remains an important consideration, investors are placing greater emphasis on borrowing costs, leverage, collateral and the timing of expected project revenues.
Some portfolio managers regard the recent selloff as an excessive adjustment following a period of elevated expectations. Others see it as an indication that financing conditions could become more restrictive across the sector.
The performance of CoreWeave’s debt will remain relevant to assessments of how investors price the risks associated with large-scale AI infrastructure development.
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