The Hyperscalers Building What They RentThin moat

Amazon, Microsoft and Google control roughly 65% of global cloud infrastructure and are investing unprecedented sums in AI-specific capacity, with Microsoft alone planning to spend over $80 billion on AI data centres in 2026¹. They are also, collectively, where much of CoreWeave's revenue comes from — a situation the root threat on customers-as-competitors examines in full.

The competitive question this page asks is narrower: what is CoreWeave for, if its customers can build the same thing? The answer is time and specialisation. A hyperscaler's capital plan is enormous and slow, allocated across many priorities and constrained by the same power, land and equipment shortages everyone faces. CoreWeave exists because renting purpose-built AI capacity today is worth more to a customer than owning equivalent capacity in three years — and because CoreWeave's stack is designed for one workload rather than for general computing.

That is a real advantage and an explicitly temporary one. Every gigawatt a hyperscaler brings online is capacity it no longer needs to rent, and the spending is unprecedented precisely because they intend to stop renting.

Watch hyperscaler AI capacity coming online against CoreWeave's contract renewals. The renewals are where this competition is actually settled — not in a product comparison, but in whether a customer with its own data centres chooses to sign again.