Industry Overview
Technology companies are often perceived as software-driven businesses insulated from commodity markets, but the physical layer of the tech stack is deeply commodity-dependent. A single semiconductor fab consumes vast quantities of ultra-pure copper for interconnects, tin for solder, and specialty gases derived from rare minerals. An iPhone contains roughly 30 different mineral elements, including cobalt and lithium in its battery, rare earth magnets in its speakers and haptic engine, tin solder on its circuit boards, and copper wiring throughout. At the data center scale, AI infrastructure buildout is driving unprecedented demand for copper (100+ tonnes per large facility), while server racks require aluminum heat sinks and tin-lead solder across millions of connection points. The geographic concentration of these supply chains -- 80% of rare earth processing in China, 70% of cobalt from the DRC, and advanced chip fabrication concentrated in Taiwan -- creates geopolitical supply risk that tech companies are only beginning to address through reshoring and diversification efforts.
Commodity Exposure
Key Companies
Sensitivity Analysis
Despite heavy commodity inputs, most large tech companies have sufficient gross margins (40-60%+) to absorb moderate commodity price swings without material earnings impact. Apple, for example, sources billions of dollars in raw materials annually, but its 45%+ gross margin and pricing power mean that a 20% rise in cobalt prices affects per-unit costs by only a few dollars on a $1,000+ device. The more meaningful transmission mechanism is supply availability rather than price: a disruption to rare earth exports from China or a cobalt supply shock from the DRC could halt production lines entirely, regardless of willingness to pay higher prices. For semiconductor foundries like TSMC, copper interconnect costs matter at the wafer level, and the ongoing transition to advanced packaging (CoWoS for AI chips) is driving up copper and substrate material intensity per chip. NVIDIA's AI GPU dominance means its supply chain is uniquely exposed to the full mineral stack required for advanced semiconductor manufacturing and the data centers that house its products.