Morgan Stanley Puts a $300 Target on SpaceX — and Most of It Isn’t Rockets
TREE NEWS reports: Morgan Stanley initiated coverage of SpaceX with an Overweight rating and a $300 price target, implying 83.6% upside from the $163.42 close on October 12. The headline number is eye-catching, but the more consequential story sits inside the sum-of-the-parts: enterprise AI is valued at $165 per share, connectivity at $118, space at $8, and X with Grok at $8. Enterprise AI alone accounts for roughly 55% of the target price.
The bank’s core argument is that the market is still pricing SpaceX as a launch and satellite company, while assigning close to zero value to its enterprise AI and distributed inference cloud businesses. That is a striking claim about a company whose public identity is built on reusable rockets and Starlink terminals.
Why the AI Leg Matters Beyond SpaceX
Morgan Stanley’s estimates put SpaceX’s fiscal 2027 AI compute footprint at 4.9 gigawatts, against a company ambition of nearly 10 gigawatts. The bank’s sensitivity analysis is aggressive: each additional gigawatt of compute capacity adds roughly $27 to the per-share value. That is a valuation framework in which power procurement, not launch cadence, becomes the dominant driver of equity value.
This has direct read-through for the crypto and decentralized compute sector. If a vertically integrated aerospace firm can be modeled primarily as an AI infrastructure play, then the market is implicitly repricing every asset class tied to compute scarcity — GPU networks, decentralized inference marketplaces, on-chain compute settlement layers, and the energy infrastructure that feeds them. The competition for gigawatts is no longer a hyperscaler story alone.
The Distributed Inference Thesis
The concept of a distributed inference cloud is particularly relevant to crypto-native infrastructure. Decentralized GPU networks have spent years arguing that inference can be served more cheaply and resiliently by aggregating distributed capacity rather than concentrating it in a handful of data centers. Morgan Stanley is now applying a similar logic to SpaceX’s orbital and ground-based assets, which suggests institutional analysts are beginning to take distributed compute seriously as a category rather than a niche.
That shift matters because capital allocation follows narrative. If enterprise AI is worth $165 a share in a company that has not yet listed, the comparables for listed AI infrastructure and decentralized compute tokens will be re-examined.
What to Watch
- Whether SpaceX discloses AI compute capacity, power contracts, or inference customers in future filings or funding rounds.
- How the 4.9 GW to 10 GW gap gets financed — this is a capital intensity problem, not just a technology problem.
- Whether decentralized compute networks begin to be benchmarked against the $27-per-gigawatt heuristic that Morgan Stanley has effectively introduced.
- Starlink’s connectivity valuation, which at $118 per share remains the second-largest component and could be the more defensible near-term cash generator.
The broader implication is that the boundary between aerospace, AI infrastructure, and decentralized compute is dissolving in the analyst community’s models. Investors who still classify these as separate sectors may be mispricing all three.
