Blackstone downplays computing debt risks after alternative cloud IPOs stumble

Debt obligations are piling up on alternative AI clouds and their IPOs are stumbling, but the largest owner of processor computing outside the major groups believes that concerns about a broad credit crisis are exaggerated.At the TechCrunch Disrupt conference, Jas Khair, the executive at the private-equity firm Blackstone and head of its technical arm Blackstone in 1 in San Francisco, defended the pace of capital spending driven by lending tools to build data centers. The group, which manages $1.3 trillion of assets, relies on its position as the largest owner of computing capacity outside the major cloud companies to assert that the current financing environment does not resemble the banking fragility that triggered the 2008 crisis.

Blackstone devised a financing structure that allowed it to pump billions of dollars in loans to alternative-cloud firms that specialize in leasing graphics processing units, relying on two pillars: pre-arranged contracts with trusted customers and pledging the graphics cards themselves as collateral. The experiment began in 2023 when CoreWeave applied for a $2.3 billion loan despite having revenues of less than $30 million and virtually no profit, but Blackstone approved it based on the company’s holdings of Nvidia chips, in which it was an investor, and its contracts with premium customers such as Microsoft. The model quickly became a credit standard adopted by other financial institutions to fund the sector, although those obligations have started to swell noticeably.

CoreWeave’s debt alone reached roughly $50 billion, triggering warning signals in investment circles.Brad Gerstenner, founder of Altimeter Capital, noted that guarantees based solely on graphics units are no longer sufficient as they once were for obtaining cheap financing. Those warnings came alongside broader credit pressures; the Federal Reserve raised interest rates in September, inflation readings signaled that borrowing costs may continue to rise, and credit spreads widened with lenders demanding higher risk premiums to fund AI infrastructure. According to Khair, the widening pricing spreads affect even tech giants such as Meta and Microsoft, making borrowing more expensive even for the strongest balance sheets.

The tensions quickly spilled into the financial markets, with CoreWeave’s shares falling more than 20 percent in recent days, while Australian computing-services firm Vermeer's plan for an IPO on the Australian Securities Exchange, targeting a valuation of about $30 billion, was scrapped after Blackstone and Coty facilitated a $10 billion credit line for it earlier this year. Khair considered that the market was not ready to accept that valuation at a time when interest rates were rising and funds were questioning the fair value of such businesses.

Despite these setbacks, Khair argues that panic over a systemic credit collapse overlooks the identity of the ultimate borrower; the overwhelming majority of data centers are built for the major cloud-computing giants, which effectively secures the debt with some of the most credit-worthy companies in the world. Blackstone’s bets are not limited to debt, as it has committed $5 billion to invest in Crox AI, an alternative cloud launched in partnership with Google to market tensor processing units, backed the startup Etched to develop chips, and allocated $1.5 billion to a joint venture called Ood with Anthropic together with Helman & Freedman to deploy field engineers who embed intelligent models within 280 Blackstone-portfolio companies. Khair acknowledges that returns on these investments vary and follow a winding path that skeptics see as excess processing capacity before actual operational adoption catches up.

This landscape has decisive implications for technology officers and investment leaders in the Gulf, Egypt and the Levant. In a region where governments, banks and major institutions are racing to secure advanced computing capabilities and build local data centers, rising credit costs and widening interest spreads indicate that cloud-processor lease contracts will not remain insulated from financing inflation; global providers will have to pass their higher debt costs onto customers through longer, less flexible contractual terms. Procurement and technology managers in regional markets will need to re-audit the expected costs of their digital projects and verify the solvency of providers that rely on leveraged financing for their servers. The decline in valuations of alternative clouds also forces software developers and startups in Cairo, Amman and Beirut to focus on rationalising compute consumption and building software architectures with high inference efficiency, rather than relying on the assumption of continued cheap compute resources backed solely by hardware guarantees.

The decisive factor in the next phase will not be the volume of servers purchased with debt, but the ability of real applications to pay processing bills before credit-market flexibility runs out.We at the magazine are tracking this early split between capital cost and institutional adoption speed, as the true metric that will determine who sustains a foothold in AI infrastructure.