NEW YORK, July 7 — The figure that matters: 50 to 100 tons of copper per data center. That is what a single AI facility now requires, compared with 20 to 40 tons for a traditional one, according to the Copper Development Association. The bottom line: the artificial intelligence boom is reshaping global demand for the red metal, and the numbers are stark.
By the numbers, global data center copper demand hit 1.2 million tons in 2023. The Copper Development Association projects that figure will reach 2 million tons by 2030, driven almost entirely by AI expansion.
The reason is straightforward: AI data centers run at far higher power densities and require significantly more cooling infrastructure than conventional server farms. That means more copper for electrical wiring, grounding systems, and cooling loops. Investors will note that copper prices have already moved.
The metal climbed 11% in 2023, making theft more lucrative at a time when supply chains are already under strain. The U.S. Energy Information Administration reports that data center electricity consumption could double by 2026, which would further increase copper use across the grid and inside facilities.
Supply chain vulnerabilities
The U.S. Department of Energy has identified copper supply chain vulnerabilities, with theft exacerbating existing shortages. In 2024, the White House issued an executive order on critical minerals that included copper, aiming to secure supply chains as demand accelerates. The administration has not released specific targets for domestic copper production, but the order signals growing concern at the federal level.
The Copper Development Association data underscores a structural shift. Traditional data centers, built for cloud computing and enterprise workloads, use copper at a predictable rate.
AI data centers, designed to train and run large language models and other machine learning systems, consume roughly two to three times as much copper per facility. That multiplier effect, applied across hundreds of new data centers planned globally, drives the projected demand increase.
What to watch next
The key question for the industry is whether copper supply can keep pace. Mining projects take years to bring online, and recycling infrastructure for data center copper remains limited. Theft, which the Department of Energy has flagged as a growing problem, adds another layer of risk to an already tight market.
Investors and policymakers alike will be watching copper inventories and theft reports as indicators of supply chain health. For the AI industry, the copper constraint is one of several material challenges that could affect buildout timelines.
The 2 million ton demand projection for 2030 assumes current buildout rates continue. If copper prices rise further or supply disruptions worsen, those timelines could slip. The bottom line: the AI boom runs on copper, and the copper supply chain is showing strain.
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