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AI Infrastructure Drives Surge in Compute Metal Prices

By Stocks Desk · 2026-09-19 · 2 min read
A stack of shiny, rectangular metal ingots resting on a wooden pallet in a warehouse
Illustration: Tradingbird

Rising demand for AI servers and data centers has reclassified copper, aluminum, and niche metals as critical compute materials, triggering significant price increases in the first half of 2026.

The rapid expansion of artificial intelligence infrastructure has transformed traditional industrial metals into high-demand assets. Copper, aluminum, tin, tantalum, indium, germanium, and gallium are now categorized as compute metals, a market label reflecting their essential role in AI servers, data centers, and advanced semiconductor packaging. This shift has outpaced supply in several sectors, as reported by CCTV Finance News, leading to a broad rise in prices across the nonferrous metals market.

Price data cited by People's Daily indicates substantial gains in the first half of 2026. Tantalum prices rose by 158 percent, while tin and indium increased by more than 40 percent and 60 percent, respectively. Copper and aluminum prices also remained elevated, driven by the physical requirements of high-performance computing hardware. The demand is structural, as these materials form the material foundation for power systems, heat dissipation, and optical communications within the computing industry chain.

Bulk Metals Anchor Data Center Costs

Copper and aluminum serve as the bulk compute metals, providing conductive, heat-dissipating, and structural support functions. A high-performance AI training server consumes an estimated 15 to 30 kilograms of copper, which is three to six times the amount required by a conventional server. This copper is used in cable interconnects, printed circuit board substrates, and heat-dissipation modules. Additionally, liquid-cooling systems necessary for thermal management require another 20 to 30 kilograms of aluminum per server, further linking metal consumption directly to computing power density.

The material intensity of AI hardware creates a direct correlation between server performance and metal usage. As model operations require massive amounts of electricity, the generating and transmitting systems rely heavily on these bulk metals. The efficiency of power delivery and heat removal is dependent on the volume and quality of copper and aluminum deployed, making these commodities central to the cost structure of new data center builds.

Niche Metals Enable Advanced Packaging

Beyond bulk materials, rare small metals are indispensable for advanced semiconductor manufacturing. Tin enables soldering and advanced packaging, while tantalum supports high-performance capacitors. Indium phosphide is critical for high-speed optical communications, and gallium nitride facilitates efficient electronics operation. Although used in smaller quantities compared to copper and aluminum, these elements are difficult to replace and are essential for the advanced packaging and optical modules that define next-generation AI hardware.

China Dominates Strategic Metal Supply

China holds significant advantages in the supply chain for these compute metals, driven by strong reserves and leading refining capabilities. According to a report by Xinda Securities, the country accounted for 23.91 percent of global tin reserves and 52.4 percent of global tin output in 2024. China is also the world's largest producer of germanium, holding 41 percent of global reserves and producing between 70 percent and 83 percent of primary germanium. This concentration of supply positions Chinese producers as key players in the global market for materials critical to AI semiconductors and advanced manufacturing.

Based on reporting by Global Times, compiled by the Tradingbird desk.

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