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Capex Chain

Where hyperscaler capex actually lands

TickerMover Capex Chains · Published weekly · Descriptive model, not a forecast
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Companies in this chain

Every AI-datacenter dollar the hyperscalers spend is captured somewhere along a chain of suppliers. This map shows the realized split — each layer's and each company's share of the AI-revenue landing today, weighted by how much of its business depends on that spend. Descriptive, not a forecast.

AI compute chips (GPUs & accelerators)

AI memory (HBM & DRAM)

Optical interconnect

Signal & connectivity chips

Switching & networking

Power, cooling & capacity

How this map is built

Each company's share = its trailing revenue × an estimated 'AI-attributable' fraction (its exposure band: high / moderate / low), divided by the chain total. So it answers who actually captures the spend TODAY — not who might benefit next. Revenue is live from our scan; a few names our universe doesn't cover use a flagged revenue estimate. Exposure bands are qualitative judgements from filings and earnings calls, and they are the part most worth arguing with. This is a snapshot of realized share, not a prediction — later position in the chain does NOT imply un-captured upside; markets price expectations ahead, and many of these names have already run. The 'signal to watch' is the single leading indicator we'd track for each name.

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