A study published in *Resources Policy* and led by Macdonald Amoah, with co-authors from the Colorado School of Mines and the University of Michigan, concludes that artificial intelligence data centers will reshape demand for critical minerals primarily through power infrastructure, not AI chips. Copper accounts for 82–83% of total projected mineral demand from AI data centers, with grid infrastructure consuming nearly two-thirds of that total. Grain-oriented electrical steel and rare earth permanent magnets, primarily neodymium-iron-boron (NdFeB) magnets, emerge as critical but overlooked bottlenecks. The study concludes that processing and refining capacity—not geological scarcity—poses the greatest supply risk for strategic minerals. NdFeB magnets enable high-efficiency cooling and power systems in AI data centers, driving demand for magnet manufacturing capacity. Investors are advised to look beyond semiconductor companies toward processing, metallurgy, grid infrastructure, and integrated mine-to-manufacturing ecosystems.