Mounting credit concerns around CoreWeave are forcing Wall Street to confront a difficult question: how much borrowing can the artificial intelligence boom sustain before financing costs become a serious threat to growth?

The artificial intelligence trade is facing a test that cannot be measured by chip sales or technology-company revenue alone. Investors are increasingly examining the borrowing required to build the data centers, computing infrastructure and power capacity that underpin the industry's expansion.

CoreWeave has become one of the clearest examples of that concern.

On October 15, the cost of insuring CoreWeave's debt against default surged beyond 1,100 basis points, according to Reuters. The yield on its 2031 bonds briefly climbed to approximately 16% before easing. Reuters, citing market data, also reported that CoreWeave had nearly $50 billion in outstanding obligations.

These are significant warning signs for a business model that depends on substantial upfront investment to supply computing capacity for artificial intelligence.

Investors often concentrate on share prices when assessing a company's health. But debt markets can provide an earlier indication that lenders are becoming uncomfortable with a company's financial position.

A credit-default swap, or CDS, allows investors to obtain protection against a potential credit event. When CDS spreads rise sharply, the market is demanding more compensation to assume that risk.

That does not mean a company is certain to default. It does indicate that investors have become substantially more concerned about its ability to manage its obligations.

CoreWeave's equity has also experienced considerable pressure. Reuters reported that its shares fell 15% on October 14 and declined another 2% on October 15. The simultaneous weakness in its stock and bonds points to a broader reassessment of its financial risk rather than simply a routine fluctuation in technology shares.

Oracle is also facing scrutiny. Its CDS spreads approached 300 basis points, according to Reuters, as investors questioned the borrowing required to support its expanding AI-related ambitions.

The distinction is important: companies can have promising businesses and still expose shareholders to considerable financial risk if the cost of financing their expansion rises faster than the returns from their investments.

The central question for investors is not whether artificial intelligence will be useful. It is whether the companies building its infrastructure can earn adequate returns on the capital they are committing.

Data centers require significant spending on computing equipment, networking, electricity and property. Revenue may develop over several years, while interest payments and other financing costs must be met along the way.

If borrowing costs remain high, projects take longer to become profitable, or customers become more cautious about expanding their computing commitments, the economics can deteriorate quickly.

The resulting risks differ across the industry. Businesses with strong cash flows and manageable debt loads may be better positioned to absorb a slowdown than companies that depend heavily on external financing.

This is why rising AI-related credit spreads deserve attention beyond CoreWeave itself. Reuters reported that CDS spreads for several other major technology companies had also reached record levels, although the increases were less dramatic than those seen at CoreWeave and Oracle.

That is evidence of greater caution in the market, not proof that the entire AI sector is approaching a default crisis.

Three indicators deserve particular attention over the coming weeks.

First, watch whether CoreWeave's borrowing costs stabilize or continue rising. A sustained improvement would suggest that lenders are becoming more comfortable with its outlook; further deterioration would indicate that financing concerns remain unresolved.

Second, examine the relationship between capital expenditure and cash generation at major AI infrastructure companies. Revenue growth alone is not enough if the cost of producing that revenue consumes the available cash.

Third, monitor interest-rate expectations. Higher borrowing costs make long-duration growth investments less attractive and can increase the financial pressure on debt-dependent companies.

The AI opportunity has not disappeared. But the market may be becoming more selective about which companies deserve the highest valuations.

For investors, the next phase of the AI trade may depend less on identifying the biggest spending plans and more on identifying the businesses capable of financing those plans sustainably.