SpaceX is now functioning as a “neo cloud” provider, supplying both its Colossus-1 and Colossus-2 data centers to Anthropic’s Claude AI, which has been “severely compute constrained throughout the year.”
The move reframes Elon Musk’s competitive position in artificial intelligence, shifting him away from direct rivalry with OpenAI and toward a role as infrastructure provider to the broader AI industry.
The host of The AI Daily Brief argues the pivot “makes the SpaceX IPO make so much more sense in context,” slotting the company into a category public market investors already understand and reward with enormous multiples.
Rather than competing at the model layer, Musk is now positioned, in the host’s phrase, as “self-appointed czar of compute,” focused on “a thing that he does better than just about anyone, which is building big ungodly physical infrastructure.”
The neo cloud business model is straightforward to describe but brutally capital intensive to execute, requiring massive purchases of NVIDIA GPUs, high-bandwidth memory, and long-term data center commitments rented to AI labs on multi-year contracts.
CoreWeave (NASDAQ: CRWV) wrote the playbook, posting revenue growth of 111.6% year over year in its most recent quarter and disclosing a revenue backlog approaching $100 billion, anchored by a major Anthropic deal and a $21 billion Meta commitment.
Nebius Group (NASDAQ: NBIS) is the other listed pure-play neo cloud, and SpaceX’s entry into the category gives Anthropic a third significant non-hyperscaler compute landlord at meaningful scale.
Anthropic’s primary backer remains Amazon (NASDAQ: AMZN), which booked a $16.8 billion pre-tax investment gain tied to Anthropic in the first quarter, while AWS revenue grew 28% to $37.59 billion, its fastest growth in 15 quarters.
Anthropic has committed to taking up to 5 GW of AWS Trainium capacity, yet Claude users have faced throttling throughout the year, making single-source compute risk the binding constraint on the frontier lab’s revenue growth.
To address that constraint, Anthropic is diversifying across CoreWeave, Google Cloud, and now SpaceX’s Colossus campuses, which offer a scale that smaller neo cloud operators simply cannot match.
The infrastructure buildout has been most visibly reflected in memory markets, with Micron Technology (NASDAQ: MU) recently crossing a $1 trillion market cap and UBS carrying a $1,625 price target on the stock.
Despite that run, Micron still trades at roughly 10 times estimated earnings, the lowest multiple in the Philadelphia Semiconductor Index, suggesting the market sees further room relative to peers.
The host notes that AI memory stocks are “absolutely surging with companies like SK Hynix and Micron becoming trillion-dollar companies,” a sign that public capital remains hungry for picks-and-shovels exposure to the AI buildout.
NVIDIA sits beneath all of it, reporting Q1 data center revenue of $75.25 billion, up 92% year over year, with a forward multiple of 26 that now looks restrained compared to the neo cloud companies it supplies.
Meta Platforms adds a further dimension to the story, having raised its 2026 capital expenditure guidance to between $125 billion and $145 billion, even as the stock has declined year to date on investor concern about returns.
The host notes Meta is now “talking about the possibility that they could also become a cloud business” and potentially “sell back the $130 billion or whatever worth of compute that they’re investing in at a premium.”
Such a move would, in the host’s framing, “significantly de-risks that big CapEx spend,” transforming what looks like a speculative bet into a revenue-generating infrastructure business with predictable cash flows.
Jeff Bezos has separately raised the prospect of orbital data centers as an inevitable development, a category that only a launch company with SpaceX’s capabilities could plausibly operate at commercial scale.
Taken together, the emergence of SpaceX as a neo cloud landlord, the memory supercycle, and Meta’s potential pivot toward selling compute all point to AI infrastructure becoming the defining capital allocation story across public and private markets in 2026.
