Imagine paying your direct competitor 40 billion dollars over three years.

This is exactly what Anthropic has agreed to do with SpaceX and xAI.

SpaceX's IPO filing revealed a historic deal yesterday.
Anthropic will pay 1.25 billion dollars every month, until May 2029.
The total value of the contract exceeds 40 billion dollars.

Both companies signed a contract that either party can terminate with just 90 days' notice.
The irony here is worth contemplating.

Anthropic is the maker of Claude,
the direct competitor to xAI's Grok.

Yet, they will pour billions of dollars monthly into their direct rival's pocket.

Why?
Because computational capacity has become scarce, rarer than oil.
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The details of the deal reveal the true size of the story.
Anthropic will acquire 300 megawatts of computational capacity at Colossus 1 and Colossus II centers.

Equivalent to roughly 220,000 GPUs at their disposal for training their models.

Anthropic's financial figures reveal the madness in the AI industry.
Revenue in Q1 2026 reached $4.8 billion.

Expected for Q2 is $10.9 billion, a 130% growth in just three months.
And the company's first operating profit is coming this quarter, at $559 million.
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Meanwhile, SpaceX achieved annual revenues of $18.7 billion last year.
The Anthropic deal alone will add $15 billion annually.
Doubling SpaceX's revenue in one go, just before the IPO.

And the deeper story lies in Elon Musk's shifting calculations.
He originally built data centers to train xAI's Grok model.

Then he discovered that the available capacity exceeds his needs.
So he decided to rent it out to those who need it, even if they are his direct competitors.

This is what the market now calls the Neocloud strategy.
Perhaps the most telling thing is that Musk is creating a new cash flow for SpaceX before its IPO.

A company that had $18 billion in revenue will now have more than $33 billion annually.
And every dollar paid by competitors increases the company's valuation on the day of the offering.

When competitors pay each other billions for computational power,
the real question becomes:
Have we entered a new era where computational capacity is the new oil?
And those who own the wells will own the future.

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