Nvidia’s Best Customers Can Still Borrow

October 26, 2026

SpaceX’s $40 billion GPU deal targets H1 2027 deliveries as Musk warns AI-only credit has dried up.


Two weeks ago, credit markets were the loudest skeptics of the AI buildout. CoreWeave closed slightly lower even as AI stocks rallied, with investors demanding high yields and more investor protections on its bonds. The yield to maturity on CoreWeave’s 9.625% bond due in 2032 was about 15%. Oracle bonds were trading close to levels associated with junk territory. The question hanging over Nvidia was whether the order books underpinning its 2027 revenue were as solid as the bulls claimed.

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Sunday night, that question got a concrete answer, though not the kind bears expected.

Elon Musk posted on X that SpaceX had closed the financing, pointing to the company’s investment-grade status and its Starlink satellite and launch revenue, and saying the debt is primarily callable and tied to GPU purchases expected to arrive in the first and second quarters of 2027. Reports indicated the structure contemplated roughly $10 billion in bank loans and $30 billion in investment-grade debt, with Apollo Global Management leading the effort. Bloomberg reported Sunday that it wasn’t clear from Musk’s post whether investors had agreed to final pricing for the debt, so the deal’s precise terms remain to be confirmed.

In the same post, Musk wrote that debt markets have “almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers,” and that “the 200+ neoclouds are going to see guppy-level death and consolidation.”

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That pairing is what investors in Nvidia should study carefully. The market spent much of October treating AI credit stress as a demand problem. It is, more precisely, a borrower-quality problem. SpaceX could pursue $40 billion in GPU debt because it says it is investment grade and can point to Starlink and launch revenue, a profile almost no neocloud can replicate. The chips are still in demand. The question is who can finance the purchase.

Over the past month, CoreWeave fell roughly 35% and Nebius shares dropped roughly 29%. Nebius, CoreWeave, and Iren all dropped more than 4% in early premarket trading Monday, adding pressure to a sector already facing investor concerns about debt-fueled expansion. For Nvidia, the implication runs both ways. Fewer solvent large buyers could compress the customer base. But those remaining buyers, the ones with diversified revenue and investment-grade credit, are placing orders of extraordinary size and locking in delivery windows that land directly in Nvidia’s fiscal first half of 2028.

The same credit sorting is visible at the other end of the capital stack. SoftBank secured a $10 billion margin loan backed by its OpenAI stake to keep funding AI bets as conventional debt windows narrowed.

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The wealth-building lens here is not whether to trade the news. It is whether to re-examine how you are positioned across the AI infrastructure stack. Nvidia sits upstream of the credit stress. Its chips are the asset being financed, not the liability being questioned. The financing underscores the enormous capital requirements of the AI boom, as technology companies pour billions into advanced chips and data centers to support increasingly powerful AI models. That dynamic does not reverse simply because weaker borrowers lose access to credit. It concentrates.

Carlyle said bank analysts estimate private credit could finance roughly $1 trillion of the AI compute buildout, while warning that underwriting standards will determine how much concentration risk the asset class takes on. That consolidation, painful for neocloud equity holders, could actually clarify Nvidia’s demand profile. Fewer, larger, better-capitalized customers make revenue more predictable, even if the absolute count of orders shrinks.

The single most important insight from this week: credit conditions do not kill demand for the best infrastructure. They sort out who gets to buy it. Investors who understand that distinction will position differently than those who treat every AI credit headline as a signal to reduce chip exposure across the board.