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SpaceX Raises $40 Billion in Callable Debt for AI Chips as Musk Warns of Neocloud Shakeout

SpaceX has raised $40 billion in callable debt to buy GPUs, with Elon Musk saying Starlink and launch revenue give it borrowing power that AI-focused cloud providers lack.
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SpaceX Raises $40 Billion in Callable Debt for AI Chips as Musk Warns of Neocloud Shakeout

SpaceX has raised $40 billion in debt to buy GPUs, the processors used to run artificial-intelligence systems, with Elon Musk announcing the financing on X alongside a warning that smaller AI cloud providers face a wave of consolidation.

Musk said SpaceX could borrow the money because it holds a strong credit rating and has steady revenue from its Starlink internet service and rocket launches. Those businesses do not depend on AI data centers, which he said makes it easier for SpaceX to secure chip financing than for companies whose revenue comes almost entirely from data centers.

Callable structure and GPU timing

The $40 billion deal is mainly callable debt, meaning SpaceX can repay it early. The money could be used to pay for GPU deliveries expected in the first half of 2027, though Musk did not explicitly say so.

Reuters previously reported that SpaceX was negotiating with banks and asset managers to raise $40 billion to buy Nvidia AI chips. The company is Nasdaq-listed.

Musk predicts neocloud consolidation

Musk said debt funding for companies dependent on AI data centers is drying up, and he predicted that more than 200 “neoclouds” — newer companies that rent out AI computing power — will consolidate, with only a few surviving.

“As of the past few weeks, debt markets have almost entirely shut off access to money for any company that doesn’t have substantial revenue independent of AI data centers,” he said on X.

Palihapitiya had earlier said many neoclouds appear poorly funded and badly run. He argued that Amazon, Microsoft and Google are moving slowly on deals and prefer to keep computing power for their own use. Delays in building data centers, he said, could leave many chips and half-finished projects sitting idle or failing to earn enough to cover their financing costs in 2027.

The cost of the AI computing race

The episode illustrates how expensive the AI computing buildout has become. Building large clusters of AI chips can require tens of billions of dollars. Companies with diverse revenue streams and strong credit can still borrow, while firms whose entire business depends on AI infrastructure face a tougher time as lenders become more selective.

Market backdrop

Financial markets have grown increasingly worried about the payoff from massive AI spending, pressuring AI-linked stocks and the broader market. Nasdaq futures traded near 29,080 as of this writing, down sharply from above 30,000 early this month. Bitcoin was last near $79,400.

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