CyrusOne — AI supply-chain exposure
The model reads CyrusOne primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Grid capacity (constraint β 26).
The structural read · model-generated
The model reads CyrusOne primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Grid capacity (constraint β 26).
In depth · editorial + model · written 2026-07-13
CyrusOne builds and operates the physical shell of the AI build-out — hyperscale data centres, with a heavy Texas footprint, leased to the cloud and AI giants that fill them with accelerators. Now owned by KKR and Global Infrastructure Partners, it supplies the AI factory at its most literal level: the building, the power delivery and the cooling into which someone else's GPUs are racked.
The hook has shifted from real estate to access. The binding constraint on new capacity is no longer land or steel but power — secured megawatts, grid interconnection and permitted sites — and operators that have locked those up hold the scarce asset. CyrusOne's demand is anchored to a handful of hyperscale tenants on long leases, which lends stability but concentrates its fortunes. The model places it as a supplier of the AI factory itself, central to where compute physically lives.
Chain footprint by layer
How it participates
Every part CyrusOne touches
Critical materials it leans on
Geographic concentration
Frequently asked
What is CyrusOne's role in the AI supply chain?
The model reads CyrusOne primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Grid capacity (constraint β 26).
Which parts of the AI value chain is CyrusOne exposed to?
CyrusOne is mapped to 1 part of the AI value chain, most strongly AI factory. It sits primarily in the Infrastructure layer as a supplier.
Does CyrusOne own an AI bottleneck?
Not in the current model — CyrusOne is exposed to constrained parts but sits downstream of them rather than producing them.
What is CyrusOne's biggest AI supply-chain risk?
Its largest modeled sensitivity is a shock at Grid capacity (constraint β 26). 3 nodes depend on it; pressure 88/100
Who are CyrusOne's closest peers by AI-chain position?
By shared chain dependencies: YMTC (Yangtze Memory Technologies), Pegatron, VAST Data, WEKA.
Go live on CyrusOne
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model v0.7.0 · research, not advice
Chain analytics are illustrative, order-of-magnitude estimates from our model of the AI value chain — not investment advice.