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NewsMaterial3 min readDisconfirmAI Editorial

Blackstone AI Head Jas Khaira: Fears Over AI Buildout Debt Are Overblown, End-Client Credit Is Key

Jas Khaira, head of Blackstone's AI business, outlined his core argument at TechCrunch Disrupt: the risk pricing for AI infrastructure debt is primarily anchored to the creditworthiness of investment-grade end clients like Microsoft and Meta, with GPU collateral and signed contracts forming the assessment basis. He acknowledged that rising interest rates and widening credit spreads are depressing valuations for new cloud companies, but argued this differs fundamentally from the fragility seen in the 2008 banking system.

2026-10-22 06:51 GMT+8

At TechCrunch Disrupt, Jas Khaira, head of Blackstone’s AI business, offered a clear judgment: current market panic over AI infrastructure debt is exaggerated. His reasoning does not deny the existence of pressure—CoreWeave’s stock recently fell more than 20%, Australian GPU supplier Firmus canceled its initial public offering on the Australian Securities Exchange, and credit spreads are indeed widening—but rather argues that the nature of these fluctuations differs from a systemic credit crisis.

Khaira’s core argument is that the risk pricing for AI infrastructure debt is primarily anchored to the creditworthiness of the end clients renting these GPUs. He cited examples such as if the client is an investment-grade enterprise like Microsoft or Meta, the risk is priced relative to that client’s credit, with GPU collateral and signed contracts jointly forming the assessment basis. This logic stems from Blackstone’s first transaction with CoreWeave in 2023: at that time, CoreWeave had only $30 million in revenue and minimal profitability, but held a large collection of Nvidia GPUs and contracts with blue-chip customers like Microsoft; based on this, Blackstone provided a $2.3 billion loan. Khaira stated that this transaction quickly became the financing template for Blackstone and other credit institutions lending to new cloud companies.

The actual structure of this mechanism is a two-layer credit analysis: the first layer is the value of GPUs as collateral, and the second layer is the quality of contracted customers’ agreements. Khaira emphasized that what distinguishes Blackstone from traditional venture capitalists is its ability to provide flexible capital structures—ranging from debt to equity—and its focus on compute financing. He claimed that Blackstone is currently the largest owner of compute outside of hyperscale cloud service providers, strategically supporting AI enterprises by investing in new cloud companies and data centers.

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However, Khaira also acknowledged that the market is repricing. He explained the sources of pressure on the credit side: interest rates rose in September, and hotter-than-expected inflation signals mean borrowing costs may continue to climb, while the surge in AI infrastructure debt issuance is exacerbating supply issues. He noted that even tech giants like Meta and Microsoft, which possess massive balance sheets and solid earnings, are seeing their debt financing costs rise. When Firmus canceled its IPO with a target valuation of approximately $30 billion, Khaira attributed this directly to the market having no buyers at that price.

Khaira’s response to worst-case scenarios is that the vast majority of data centers are built for hyperscale cloud service providers, and the debt supporting them is ultimately backed by the most creditworthy companies in the world. He said this is unlike the fragile bank credit situation of 2008. However, this argument has a clear failure condition: if the willingness of end clients like Microsoft and Meta to spend on AI undergoes a fundamental contraction, or if generational shifts in GPU technology cause existing collateral to depreciate rapidly, the second layer of the two-layer credit structure would be shaken. Brad Gerstner, founder of Altimeter Capital, recently pointed to the first layer in a CNBC interview: GPUs as collateral are no longer good enough.

Notably, Khaira’s expression regarding AI investment returns itself was quite restrained. When asked whether the 280 portfolio companies under Blackstone were seeing tangible benefits from AI, he admitted there are returns but they are uneven, describing technology adoption as advancing in a sawtooth pattern—before adoption catches up, observers might see an oversupply of compute. Blackstone also formed a $1.5 billion joint venture called Ode with Anthropic and Hellman & Friedman this year, providing on-site engineers to help these portfolio companies implement AI.

Sources

  • techcrunch.comTechCrunch↗
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