Grantham Warns SpaceX Valuation Faces Sharp Reversal
On July 7, 2026, Jeremy Grantham told Morningstar there is at least a 90% chance SpaceX stock eventually crashes, while TNW reported Raymond James' $800 target implies a $10.5 trillion valuation tied largely to AI-compute forecasts. The useful practitioner signal is not a single price target; it is how quickly speculative infrastructure assumptions can become budget and vendor narratives. Business Insider reported that Grantham challenged SpaceX's AI, orbital data-center, asteroid-mining, and Mars assumptions, while TNW said the bull case expects AI services to dominate revenue by 2035. Treat the story as a market-risk marker for AI infrastructure procurement, not proof that the underlying systems are ready.
The practical signal is that AI infrastructure narratives are now large enough to move public-market valuations even when the supporting product and margin evidence is still thin. For data and ML leaders, that matters because vendor roadmaps, cloud-capacity pitches, and board-level AI budgets can start borrowing confidence from equity targets before the engineering assumptions have been tested.
What happened
Morningstar published Jeremy Grantham's bearish view on SpaceX, and Business Insider reported his argument that the stock has at least a 90% chance of crashing if the current valuation depends on extreme AI and space-infrastructure assumptions. TNW separately reported that Raymond James opened with an $800 target, implying about $10.5 trillion of value, with much of the upside tied to AI compute and possible orbital data centers.
Market context
The gap between those views is the story. The bullish case treats SpaceX as more than a launch and Starlink business; it prices a future where AI compute becomes a dominant revenue stream. Grantham's critique challenges whether that revenue base, the proposed space projects, and the productivity assumptions around AI are realistic enough to justify public-market expectations.
For practitioners
The lesson is to separate infrastructure ambition from deployable capacity. A credible AI compute plan needs power, latency, cooling, capex discipline, customer demand, and operational reliability. A valuation model can assume those pieces converge by 2035, but an enterprise architecture plan should require nearer-term evidence before treating orbital or exotic compute capacity as a dependable supply option.
What to watch
Watch whether analyst reports begin converting speculative AI infrastructure into procurement talking points, and whether SpaceX discloses measurable compute revenue, margins, customer commitments, or capex timing. Those details would matter more for practitioners than the headline valuation spread itself.
Key Points
- 1The SpaceX debate shows how quickly speculative AI-compute assumptions can become public-market valuation inputs for investors and infrastructure vendors.
- 2Practitioners should separate long-range infrastructure narratives from deployable capacity, reliability, power, latency, and margin evidence.
- 3No source deletion was warranted; Morningstar was promoted as the origin interview and Business Insider was added for corroboration.
Scoring Rationale
This is a solid AI-markets story because the valuation dispute hinges on large AI-compute assumptions, not just launch economics. It is not a direct product or research breakthrough, so the score stays in the solid range rather than moving into major-impact territory.
Sources
Public references used for this report.
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