SpaceX Has Two AI Compute Stories; Only One Generates Revenue
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SpaceX Has Two AI Compute Stories; Only One Generates Revenue<br>Trying to reconcile its space-based inference ambitions with its terrestrial inference reality
Dave Friedman<br>May 26, 2026
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SpaceX’s S-1 dropped on EDGAR on May 20th. Most of the coverage focused on the $28.5 trillion total addressable market claim, the dual-class governance, or the gap between Musk’s Davos rhetoric and the risk-factor language about orbital data centers that “may not achieve commercial viability.” All fair game. But the most interesting thing about the filing isn’t any single claim. It’s that SpaceX is telling two stories about the future of AI compute infrastructure, and the document never explains how they fit together.<br>Story one: SpaceX is spending billions building terrestrial data centers and has signed one disclosed external customer, Anthropic, to a deal worth $1.25 billion per month for capacity at COLOSSUS and COLOSSUS II. That contract runs through May 2029. At run-rate, it represents roughly $15 billion a year in revenue from infrastructure that already exists, on Earth, plugged into a power grid, cooled by conventional systems.<br>Story two: SpaceX argues that the future of AI inference belongs in orbit, powered by solar arrays in sun-synchronous orbit where energy is near constant and cooling is handled by radiative dissipation into space. The filing calls this the path to the lowest achievable cost per token and claims SpaceX is “the only company that has already accomplished the key technical challenges associated with evolving connectivity satellites into AI compute satellites.”<br>Both stories are presented with conviction. Neither is presented as contingent on the other being wrong. The S-1 never provides a bridge between them. No migration curve, no cannibalization model, no analysis of which workloads move to orbit first, no disclosure of whether COLOSSUS-class ground assets remain premium infrastructure once orbital capacity comes online, and no stranded-asset sensitivity. Investors are implicitly asked to capitalize both: the terrestrial scarcity rents and the orbital optionality. The filing does not explain why those two values should be additive rather than one haircutting the other.
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The cash flow story: terrestrial scarcity
SpaceX’s AI segment, the former xAI, merged into SpaceX in February 2026, operates what the filing calls the largest AI training data center clusters on Earth. COLOSSUS and COLOSSUS II collectively provide approximately 1.0 gigawatt of compute power, with additional power capacity available for data center operations. SpaceX brought the first cluster of COLOSSUS online in 122 days and COLOSSUS II even faster, in 91 days, against an industry benchmark of roughly two years for a 100-megawatt greenfield facility.<br>That speed advantage has been monetized. The Anthropic Cloud Services Agreements, disclosed in the S-1, provide for $1.25 billion per month through May 2029, terminable by either party on 90 days’ notice. SpaceX frames this as a “dual monetization strategy,” using excess capacity to generate returns while retaining the right to reallocate for internal use if needed. The filing notes that SpaceX has “sufficient capacity to provide compute for our own A models, including support of our training and inference demands, and to satisfy the obligations under these agreements,” and expects to sign additional similar contracts.<br>Using the full 1 GW facility base as the denominator gives you a rough revenue-density benchmark of $15 million per megawatt per year. If Anthropic is not receiving the full gigawatt--and the filing suggests SpaceX retains capacity for its own models and future customers–then the implied price per contracted megawatt is higher. Either way, the point is not precision. The point is that the terrestrial business is being valued off current scarcity rents, and those rents are very real. Data center vacancy rates are at historic lows. The demand-supply imbalance in AI compute is severe. Anthropic is paying $1.25 billion a month to a competitor’s infrastructure because it has no better option. That is what scarcity pricing looks like.<br>The AI segment did $818 million in revenue and lost $2.5 billion from operations in Q1 2026, reflecting massive ongoing capex of $7.7 billion in the quarter alone. The Anthropic contract, at full run-rate, would roughly double the segment’s quarterly top line. This is the near-term financial engine of the AI segment, and it is entirely terrestrial.<br>The optionality story: orbital inference
Now the other story. SpaceX frames AI economics as a cost-per-token problem, and cost-per-token as a function of three inputs: the underlying model, the compute hardware, and energy. The filing claims a competitive advantage in the latter two: (1) hardware through proposed vertical integration efforts such as Terafab, whose...