Elon Musk and SpaceX Just Delivered Incredible News to Nvidia That Could Help the Stock Double in the Next Year

SpaceX plans to add 10 gigawatts of AI compute capacity in 2027, with a 20-gigawatt increase described by Elon Musk as a non-zero possibility; it has standardized on Nvidia chips. The article estimates Nvidia could generate about $40 billion in revenue per gigawatt, implying roughly $400 billion from 10 gigawatts, but says this depends on SpaceX meeting its plans and Nvidia supplying systems without diverting capacity from other customers. Under the article's model, Nvidia fiscal 2028 revenue could reach $850 billion and adjusted EPS $20.72, versus current analyst consensus EPS of $15.91; these are projections, not company guidance. The author argues the outlook supports a higher Nvidia share valuation.

Analysis

The bullish case has a weak bridge from compute capacity to reported earnings. A dollar-per-gigawatt estimate for installed systems is not recurring revenue, and it does not establish when equipment ships, when revenue is recognized, or how much of the 2027 build is actually funded. SpaceX’s ARR ambition is likewise not evidence of committed infrastructure spend or profitable utilization. The key underwriting variables are purchase commitments, delivery cadence, system content, and whether Nvidia can supply this demand without displacing other customers.

If deployments are real and incremental, Nvidia captures more than accelerator demand through networking and systems content; power, cooling, and electrical-equipment constraints may nevertheless defer shipments and create lumpier quarterly results. The claimed exclusive architecture could also amplify customer concentration: a delayed or resized SpaceX program would matter more if investors have capitalized it as a major growth leg. Other AI chip vendors could lose share at this customer, but there is no basis here to quantify broader displacement.

Near term, the article can reinforce momentum, but the 1–3 month catalyst is verifiable orders and supplier capacity—not a gigawatt target. Over 6–18 months, power availability, financing, utilization, and deployment economics determine whether capacity becomes durable demand. The contrarian point is that the article treats a highly ambitious build scenario as an Nvidia revenue forecast and applies a stable multiple to rapid growth; either assumption can fail. Falsifiers: SpaceX spending or deployment guidance is cut, Nvidia’s data-center shipments fail to convert announced demand, or capacity constraints push deliveries beyond the modeled period.

Key Decisions for Investors

• Do not underwrite the article’s $400B–$800B figures as incremental Nvidia revenue in fiscal 2028; treat them as an unverified system-value scenario until SpaceX commitments and Nvidia shipment timing are independently evidenced.
• For existing NVDA exposure, hold rather than add solely on this story. Consider a staged long only after confirmed orders or Nvidia guidance links demand to incremental shipments; size for execution and customer-concentration risk.
• Track SpaceX capex commitments, Nvidia data-center revenue/guidance and delivery commentary, plus power and cooling availability over the next 1–3 months. A cut in SpaceX deployment targets or evidence of shipment deferrals would invalidate the incremental-demand thesis.
• Avoid extrapolating this single customer’s architecture choice into a sector-wide share-loss call on other AI chip suppliers; the article provides no evidence on broader customer adoption or competitor economics.