The artificial intelligence boom is facing a financial reality check as investors question whether technology companies can earn enough from massive data center investments to justify their growing debt.
On October 15, credit-risk measures for major AI-linked companies reached record levels. Oracle’s five-year credit default swap spread rose to 288 basis points, while SoftBank’s reached 424 basis points. CoreWeave, a data center operator carrying nearly $50 billion in debt, saw its spread climb above 1,000 basis points, reflecting heightened investor concern about its ability to meet financial obligations.
Companies are spending heavily on advanced chips, data centers, electricity and cooling systems to meet growing demand for AI services. Much of this expansion relies on borrowing, leaving companies more exposed when interest rates rise or construction projects face delays.
CoreWeave has been particularly affected by the market's concerns, while Oracle and other AI infrastructure companies have also faced pressure. Investors are increasingly scrutinizing whether projected AI revenues will arrive quickly enough to cover borrowing costs and operating expenses.
What It Means for the AI Industry
The sell-off does not necessarily mean demand for AI is weakening. Instead, it highlights the difference between the technology's long-term potential and the financial risks involved in building it at enormous scale.
For investors, the key questions are how quickly AI infrastructure will generate reliable profits, whether companies can manage their debt and how higher interest rates could affect future expansion.
The AI race is no longer just about who can build the most powerful systems. It is also about who can afford to build them and turn that investment into sustainable profits.
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