10.02

Who makes aluminum for AI data centers

Aluminum (heat sinks, cable, structures)

Refined aluminum metal and mill products — sheet, extrusion, casting — used for heat sinks, cable conductors, and structural and enclosure parts across the data center.

Aluminum is the lighter, cheaper alternative to copper wherever conductivity per dollar (rather than per unit of cross-section) matters, and the default metal for anything that needs to be light, formable or heat-dissipating. It shows up as heat sinks on air-cooled components, as aluminum-conductor cable for lower-criticality runs, and as the structural and enclosure material in server chassis, racks, containment, prefabricated modules and building envelope framing (Layers 4, 5, 9). Supply runs from bauxite mining through alumina refining to smelting — an energy-intensive step that concentrates production in regions with cheap power — and then to rolling, extrusion and casting into finished shapes. AI hardware shifts some of this mix: as GPUs move to direct-to-chip liquid cooling, the air-cooled heat-sink use case shrinks on the highest-density components even as overall server and rack volumes grow, while aluminum's structural role in chassis, rails, containment and modular buildings keeps expanding with data-center footprint. For investors, this is standard industrial-metals economics — smelter capacity, energy cost as a share of production cost, and trade policy — with data centers a small, growing claim on a market whose swing factor is autos, packaging, aerospace and construction.

AI delta: AI racks still use aluminum for chassis, rails and structure, but the highest-power components shift heat removal to liquid cold plates, so aluminum's role moves from primary thermal path toward structural and secondary-cooling uses as density rises.

Appears at:Edge / microEnterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — Structural and cabling uses scale with total footprint at every tier; the heat-sink role is most prominent in air-cooled and hybrid deployments and recedes on components that move to direct liquid cooling.

Companies on this part (10)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
AlcoamanufacturerpublicAA37.91 USD-1.9%disclosed · source
Arconic · unit of ApollomanufacturersubsidiaryAPO*inferred
CenturymanufacturerpublicCENX31.42 USD-3.8%inferred
Chalcomanufacturerpublic601600.SS8.63 CNY-1.3%inferred
ConstelliummanufacturerpublicCSTM23.22 USD-2.2%disclosed · source
KaisermanufacturerpublicKALU107 USD-6.1%disclosed · source
Norsk HydromanufacturerpublicNHY.OL67.40 NOK-6.6%inferred
Novelis · unit of HindalcomanufacturersubsidiaryHINDALCO.NS*disclosed · source
Rio TintomanufacturerpublicRIO83.42 USD-1.4%inferred
EGAmanufacturerprivateinferred

Who competes here

The same table read the other way: every company above competes for aluminum sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

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Questions about aluminum

What is aluminum?
Refined aluminum metal and mill products — sheet, extrusion, casting — used for heat sinks, cable conductors, and structural and enclosure parts across the data center.
Which companies make aluminum for AI data centers?
This catalog lists 10 companies on Aluminum, 9 of them with listed equity: Alcoa, Arconic, Century, Chalco, Constellium, Kaiser, Norsk Hydro, Novelis, Rio Tinto, EGA.
How does AI change demand for aluminum?
AI racks still use aluminum for chassis, rails and structure, but the highest-power components shift heat removal to liquid cold plates, so aluminum's role moves from primary thermal path toward structural and secondary-cooling uses as density rises.
How reliable are these aluminum supplier placements?
The 10 placements on this part break down as 4 disclosed, 6 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON