Key Takeaways 85% confidence
- Copper makes up 83% of the total modeled mineral mass in AI data-center infrastructure, according to a 2026 study — more than any other material by a wide margin.
- A single hyperscale AI data-center campus can require nearly as much copper as a midsize mine produces in a year.
- Gallium and germanium, both flagged by the IEA as high supply-risk, are projected to see AI-driven demand rise 85% and 37% respectively by 2033.
- China controls roughly 91% of global rare-earth separation and refining capacity and 94% of sintered permanent-magnet production — the magnets used in data-center motors and cooling equipment.
- Late-2024 Chinese export restrictions on gallium, germanium, and antimony more than doubled gallium prices outside China within five months.
- Aluminium and rare earth elements round out the list of materials the U.S. Geological Survey identifies as central to AI data-center hardware.
Copper makes up 83% of the mineral mass in AI data-center infrastructure, a new study finds. Gallium, germanium, rare earths, and aluminium round out the list — several already supply-constrained.
Analysis 84% confidence
The finding that copper — not silicon or any exotic chip material — dominates an AI data center's material footprint says something important about where the real physical bottleneck sits. Chips get smaller and more efficient with every generation; the electrical infrastructure that feeds and cools them does not shrink at the same pace. Every rack needs wiring, every row needs busbars, every campus needs step-down transformers and chilled-water or direct-to-chip cooling loops, and nearly all of that hardware is built around copper because nothing else matches its combination of conductivity, cost, and manufacturability at scale. That is the mechanism behind the study's headline number: 83% of an AI data center's mineral mass isn't chip material at all, it's the copper plumbing and wiring that keeps the chips powered and cool.
Gallium and germanium sit on the opposite end of the volume scale but carry outsized risk for a different reason: concentration, not quantity. Both are typically recovered as byproducts of other metal refining rather than mined directly, which means supply can't simply expand in response to higher prices the way a dedicated mine can ramp output. China's late-2024 export restrictions on gallium, germanium, and antimony demonstrated exactly how sharp that risk can be — gallium prices outside China more than doubled within five months, with no change in underlying global demand, purely because one country controls enough of the refining capacity to move the market by tightening its own export rules. Germanium's fiber-optic and semiconductor uses put it in the same position.
Rare earths add a third layer to the same story. China's roughly 91% share of global rare-earth separation and refining, and 94% share of sintered permanent-magnet production, means the magnets inside data-center motors and cooling fans run through a supply chain with almost no geographic redundancy today. None of this is unique to AI — these are the same concentration risks that have shown up in EV and defense-supply-chain stories for several years — but the scale of the AI buildout is now large enough to compete directly with those other buyers for the same constrained material.
For now, the price signal is clearest in gallium, where an actual policy shock already produced a measurable, sustained price move. Copper's story is more about volume than acute shortage: global mine supply can in principle keep growing, but new copper mines routinely take well over a decade to reach production, which means today's AI-driven demand growth is arriving faster than supply can realistically respond.
Why This Matters 78% confidence
India isn't a meaningful producer of gallium, germanium, or rare earths, and mines only a modest share of the copper it consumes — but none of that insulates Indian buyers from this story. Copper, gallium, and rare-earth prices are set on international markets, and MetalsCost.com's own rates are themselves derived from those same global benchmarks. If AI-driven demand keeps tightening global copper supply, or if China's export policy on gallium and germanium shifts again, that pressure shows up in the international spot price first — and from there, in the rate an Indian buyer sees the next morning. India's own data-center and AI infrastructure buildout, still comparatively early, means this isn't a purely foreign story either: the same global materials competition Indian operators will eventually be bidding into.
Price Impact
Structural, multi-year demand growth for copper, gallium, germanium, and rare earths from AI data-center buildout, combined with concentrated and constrained supply for several of these metals, points toward sustained upward price pressure — though the exact timing and magnitude depend on how quickly new supply responds.
Market Snapshot Computed live
Based on metalscost.com's own tracked India reference price as of 2026-08-25 (current). Volume and open interest aren't tracked by this site and are intentionally left blank rather than estimated.
Technical Analysis Computed live
Price is trading above both its 20-period and 50-period moving averages, a bullish alignment.
Breakout probability: Low — price is trading mid-range.
Fundamental Analysis
Demand Drivers 80% confidence
A global AI data-center buildout is creating structural, multi-year demand growth across copper, gallium, germanium, aluminium, and rare earths simultaneously — not tied to any single company or country's capital spending plans, which makes the demand harder to reverse quickly.
Supply Drivers 78% confidence
Gallium and germanium are typically recovered as byproducts of other metal refining, so supply cannot expand quickly in response to higher prices. Copper mine supply growth is structurally slow, with new projects commonly taking well over a decade to reach production.
Government Policies 85% confidence
China imposed export restrictions on gallium, germanium, and antimony in late 2024, targeting the United States. The restrictions produced a measurable, sustained price effect: gallium prices outside China more than doubled within five months.
Geopolitical Risks 82% confidence
China controls roughly 91% of global rare-earth separation and refining capacity and about 94% of sintered permanent-magnet production, alongside its dominant position in gallium and germanium refining — leaving the AI buildout dependent on a supply chain with very little geographic redundancy for several of its most critical inputs.
Mining Production 75% confidence
A single hyperscale AI data-center campus can require copper volumes comparable to a midsize mine's entire annual output, according to the study's modeling.
Refinery Output 80% confidence
China's roughly 91% share of global rare-earth separation and refining capacity, and its dominant position in gallium and germanium refining, concentrate processing capacity for several AI-critical materials in one country.
Global Consumption 78% confidence
AI-specific demand for gallium is projected to grow 85% by 2033, and for germanium 37% by 2033, on top of existing non-AI demand for both metals.
Country Impact 76% confidence
| Country | Impact | Reason |
|---|---|---|
| China | High | Controls roughly 91% of global rare-earth separation and refining capacity and 94% of sintered permanent-magnet production, and enacted export restrictions on gallium, germanium, and antimony in late 2024. — Gallium prices outside China more than doubled within five months of the restrictions taking effect. |
| United States | High | Home to a large share of the world's hyperscale AI data-center buildout, driving a significant portion of the incremental demand for copper, gallium, germanium, and rare-earth magnets described in the study. — US hyperscale data-center campuses are cited as consuming copper volumes comparable to a midsize mine's annual output. |
| India | Medium | Not a major producer of gallium, germanium, or rare earths, but a significant copper importer and a growing data-center market of its own — tighter global supply of these metals feeds through into the same international spot prices MetalsCost.com tracks. — Rising global copper demand from AI infrastructure adds to the same supply-demand balance that ultimately sets the price Indian buyers pay. |
Industry Impact 78% confidence
| Industry | Effect | Reason |
|---|---|---|
| Data Centers & Cloud Computing | Negative | Faces rising input costs and potential supply bottlenecks for copper, gallium, germanium, and rare-earth magnets as the AI buildout accelerates. |
| Mining | Positive | Structural new demand from AI infrastructure adds a durable growth driver for copper, gallium, germanium, and rare-earth producers. |
| Semiconductors | Negative | Gallium and germanium are direct semiconductor and fiber-optic inputs; their supply-risk exposure and China's export restrictions threaten availability. |
Timeline
Late 2024: China imposed export restrictions on gallium, germanium, and antimony targeting the United States.
2026-08-18: Interesting Engineering published an analysis of a 2026 academic study finding copper makes up 83% of the mineral mass in AI data-center infrastructure.
Market Sentiment
Bullish Factors 80% confidence
- Structural, multi-year demand growth for copper, gallium, germanium, and rare earths tied to a global AI data-center buildout that shows no sign of slowing.
- AI-specific demand for gallium and germanium is projected to grow 85% and 37% respectively by 2033, adding to already-tight supply.
- Concentrated production in China gives suppliers there significant pricing power, as shown by gallium prices outside China more than doubling within five months of the 2024 export restrictions.
Bearish Factors 60% confidence
- High prices and supply risk create a strong commercial incentive for miners to develop new supply and for data-center operators to pursue more material-efficient designs — though neither response is likely to fully offset near-term demand growth.
Alternative Scenarios 65% confidence
- Faster-than-expected new mine and refinery capacity, particularly outside China for gallium and germanium, could ease the current supply-risk premium over the next several years.
- A slowdown in AI data-center capital spending — whether from a funding pullback or a plateau in compute demand — would directly reduce the metal-consumption growth this study projects.
Who Benefits, Who Loses
| Party | Stance | Reason |
|---|---|---|
| Copper, gallium, germanium, and rare-earth producers | Bullish | A structural new demand source from AI infrastructure adds to existing demand, supporting prices and investment in expanded production. |
| Miners diversifying critical-mineral supply outside China | Bullish | Supply-risk concerns around Chinese-concentrated gallium, germanium, and rare-earth production make non-Chinese supply strategically valuable. |
| Data-center operators and hyperscalers | Bearish | Face rising input costs and potential supply bottlenecks for copper, gallium, germanium, and rare-earth magnets just as AI buildout accelerates. |
| Downstream buyers of gallium- and germanium-dependent electronics outside China | Bearish | Exposed to China's export-restriction policy risk, as shown by gallium prices outside China more than doubling within five months of the 2024 restrictions. |
Investor Watchlist 78% confidence
Educational items to monitor — not investment advice.
- Copper mine supply growth and new project approvals, given the long lead times needed to meet AI-driven demand
- Gallium and germanium prices outside China, as a live indicator of export-restriction impact
- China's rare-earth and critical-minerals export policy
- Capital expenditure guidance from major hyperscale data-center operators
Price Risks 72% confidence
- A sudden change in Chinese export policy for gallium, germanium, or rare earths could cause sharp, fast price moves outside China
- AI data-center capital spending could slow if funding conditions tighten, reducing the demand growth this analysis is based on
Historical Comparison
Late 2024 – early 2025: Gallium prices outside China more than doubled within five months after China imposed export restrictions on gallium, germanium, and antimony.
