SpaceX intends to raise roughly $40 billion in debt to buy Nvidia chips, and Wedbush analyst Dan Ives has endorsed the plan outright, calling it a "smart move" in comments reported by Barchart.

The figure anchors one of the largest single-purpose debt financings ever linked to AI compute procurement. It signals that SpaceX, known primarily for launch services and the Starlink satellite constellation, intends to compete for GPU capacity at a scale normally associated with the largest hyperscale cloud operators.

Why would SpaceX borrow $40 billion for chips?

Nvidia's flagship GPUs remain supply-constrained, and buyers that commit early and at scale secure allocation priority. For SpaceX, the compute has a direct internal use case: training and running the machine-learning systems that manage Starlink's growing satellite fleet, network routing, and the company's broader AI ambitions.

Debt financing, rather than equity, allows SpaceX to fund the purchase without diluting existing shareholders. That structure — borrowing against future cash flows from launch contracts and Starlink subscriptions — is the logic Ives endorsed when he labeled the plan a smart move.

What does the plan signal about AI compute demand?

A $40 billion chip order, financed on SpaceX's balance sheet, adds a non-traditional buyer to the front of Nvidia's queue. Three implications follow:

• Demand for Nvidia silicon now extends beyond cloud providers and AI labs into satellite and telecommunications operators.
• Compute has become a capital-expenditure line item large enough to justify bond-market-sized financings.
• Companies with strong recurring revenue, such as Starlink subscriptions, can lever that cash flow directly into AI infrastructure.

Who is Dan Ives and why does his call matter?

Dan Ives heads global technology research at Wedbush Securities and ranks among the most widely cited Wall Street analysts covering AI hardware and hyperscale spending. His calls on Nvidia's demand pipeline and on the broader AI trade move markets and shape retail-investor sentiment.

Ives's characterization of the debt plan as a smart move amounts to a judgment that the financing risk is justified. In his framing, the cost of borrowing $40 billion is outweighed by the strategic value of locking in GPU supply — a scarce asset that determines who can build competitive AI systems in the current cycle.

What are the risks?

Borrowing at this scale carries obligations regardless of how the AI market develops. Key variables include:

• The pace at which Starlink and launch revenues grow to service the debt.
• Chip depreciation, as GPU generations turn over faster than traditional infrastructure.
• Competition from cloud providers offering rented compute, an alternative to owning hardware.

Ives's endorsement suggests he views these risks as manageable relative to the cost of being compute-starved.

What comes next?

The reported plan positions SpaceX alongside the largest corporate AI spenders. If the financing proceeds as described, expect further detail on the debt structure, the chip delivery schedule, and how SpaceX allocates the resulting compute capacity across Starlink operations and its AI programs. Nvidia, for its part, gains another marquee customer committing to multi-year, multi-billion-dollar purchases — a data point analysts will fold into forward demand models for its data-center segment.