Switch — AI supply-chain exposure
The model reads Switch primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Liquid cooling (constraint β 23).
The structural read · model-generated
The model reads Switch primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Liquid cooling (constraint β 23).
In depth · editorial + model · written 2026-07-13
Switch is a US data-center operator, owned by DigitalBridge and IFM, that builds very large "Prime" campuses in Las Vegas and Reno designed for high density. It is a supplier of the AI factory itself — the physical building, power and cooling shell inside which racks of accelerators actually run — and its designs lean toward the high power-density-per-rack that AI training demands.
Its structural hook is that density is now the scarce commodity. Fitting more power and heat into each rack is what separates a site that can host modern accelerator clusters from one that cannot, and campuses already engineered for that draw the largest tenants. Because power, land and interconnect take years to assemble, an operator with delivered high-density capacity holds leverage over when compute comes online. That is why the model treats the campus operator as a load-bearing node rather than passive real estate.
Chain footprint by layer
How it participates
Every part Switch touches
Critical materials it leans on
Geographic concentration
Frequently asked
What is Switch's role in the AI supply chain?
The model reads Switch primarily as a supplier in Infrastructure. Its largest modeled sensitivity is a shock at Liquid cooling (constraint β 23).
Which parts of the AI value chain is Switch exposed to?
Switch is mapped to 2 parts of the AI value chain, most strongly AI factory, Power density per rack. It sits primarily in the Infrastructure layer as a supplier.
Does Switch own an AI bottleneck?
Not in the current model — Switch is exposed to constrained parts but sits downstream of them rather than producing them.
What is Switch's biggest AI supply-chain risk?
Its largest modeled sensitivity is a shock at Liquid cooling (constraint β 23). 4 nodes depend on it; pressure 75/100
Who are Switch's closest peers by AI-chain position?
By shared chain dependencies: YMTC (Yangtze Memory Technologies), CyrusOne, Pegatron, VAST Data.
Go live on Switch
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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.