Copper Miner FCX Surges Over 106% in a Year as AI Grids Tighten Supply
Intense AI infrastructure build-out is creating critical deficits in copper and transformer components, pushing up raw material costs for data centers.
Tradesnaut Quant Research Desk · September 28, 2026 · 6 min read · AI Market Analysis
Key takeaways
- AI's rapid expansion is creating significant physical supply deficits for copper and specialized transformer components, driving up prices.
- Underinvestment in new mining capacity and complex manufacturing processes for electrical components are the primary bottlenecks.
- A sustained acceleration in new mine projects or a notable slowdown in AI data center expansion would alter the current supply-demand imbalance.
What changed
The underlying surge in demand for critical materials, fueled by the relentless build-out of artificial intelligence infrastructure, is visibly impacting commodity markets. Freeport-McMoRan (FCX) shares have rocketed 106.59% over the past year, reflecting investor conviction in sustained copper demand, despite a -0.12% dip today to 72.22. Similarly, the iPath Series B Bloomberg Copper Subindex Total Return ETN (CPER) has climbed 35.25% in the last year, though it saw a -1.72% decline today, closing at 39.91. This robust long-term performance comes as market intelligence experts at S&P Global published a study in August 2026, titled 'Copper in the Age of AI: Challenges of Electrification,' which highlights a widening copper supply gap as electricity demand accelerates, driven by artificial intelligence. Adding to the pressure, industrial silver demand is forecast to exceed 720 million ounces in 2026, the highest figure on record for this category, according to Silver Institute data cited in an August 2026 report. This increased demand is reflected in the 34.89% rise in the iShares Silver Trust (SLV) over the past year, even with today's notable -4.81% drop to 55.34. These market movements underscore a growing divergence between long-term supply constraints and escalating AI-driven material needs.
The mechanism
The computational horsepower required by advanced AI models translates directly into immense energy consumption and, consequently, a massive build-out of electrical infrastructure. Each new AI data center demands substantial quantities of copper for cabling, busbars, and cooling systems, as well as silver for high-performance interconnects within servers, according to an August 2026 analysis. Beyond the data center walls, the broader electrical grids powering these facilities also require significant upgrades, further straining copper supply. S&P Global's January 2026 study projects a significant global copper supply deficit starting in 2025 and widening through 2026 and beyond, citing underinvestment in new mines and increasing demand from electrification and AI. The study projects that global copper production will peak in 2030 at 33 million metric tons, leading to a supply deficit of 10 million metric tons by 2040 unless significant adjustments are made. A critical bottleneck has emerged in the supply of specialized transformer cores, essential for managing the high-voltage power needed for these immense computing loads. Power transformer lead times now average approximately 128 weeks in the United States, with generator step-up transformers averaging about 144 weeks, according to a June 2026 report. Some specialized orders extend to four years. This issue is compounded by a constrained global supply chain for grain-oriented electrical steel (GOES), a key component in transformer cores, with the U.S. having only one domestic producer, Cleveland-Cliffs, as noted in a May 2026 report. These physical limitations in both raw material extraction and specialized manufacturing are the core drivers of current price pressures.
Who is exposed
The implications of this commodity squeeze ripple across several sectors. Companies heavily reliant on copper and silver for their products, such as electronics manufacturers and electric vehicle producers, face escalating input costs. Data center operators, including hyperscalers, are directly exposed to rising capital expenditures (capex) for new facilities. TrendForce's latest AI server research, from August 2026, estimates that the combined 2026 CapEx of the world's nine largest cloud service providers will exceed US$886.7 billion, with the five North American hyperscalers accounting for nearly 90%. This increased spending reflects continued investment in AI data centers and GPU clusters. A September 2026 analysis indicates that rising power infrastructure costs are driving this, with Microsoft's Q4 FY2026 earnings call transcript from July 2026 showing the company mentioning increased investment in power and cooling infrastructure as a growing component of their data center build-out costs. Mining companies, particularly those with significant copper operations like Freeport-McMoRan (FCX), stand to benefit from higher prices, assuming they can maintain or increase production. Freeport-McMoRan reported adjusted diluted earnings per share from continuing operations of $0.68 for the second quarter ended June 30, 2026, compared to $0.53 a year ago, according to MarketScreener in July 2026. The company also reported record realized copper prices of $6.17 per pound and record gold prices of $4520 per ounce in Q2 2026, according to a July 2026 report. However, even miners face challenges from rising operational costs and the lengthy lead times required to bring new projects online, with S&P Global noting in September 2026 that most of the increase in copper deposits came from expansions of existing assets rather than new discoveries.
Quantitative Outlook
The market data clearly illustrates the long-term bullish trend for copper and silver, albeit with some recent volatility. Freeport-McMoRan's (FCX) one-year gain of 106.59% and the iPath Copper ETN's (CPER) 35.25% surge reflect robust investor sentiment betting on the AI-driven demand narrative. The iShares Silver Trust (SLV) also shows a strong 34.89% increase over the past year. However, the short-term pullbacks, with FCX down -7.90% over 30 days and SLV down -11.83% over the same period, suggest that profit-taking or broader market sentiment shifts (S&P 500 down -0.53% today, NASDAQ down -0.62% today) can temporarily overshadow the fundamental tailwinds. The crucial factors to monitor are the speed of new mining project development and the progress in expanding manufacturing capacity for specialized electrical components. Close to billion in new North American transformer manufacturing capacity has been announced, but most new lines are projected online in 2027–2028, and the U.S. transformer workforce of roughly 15,000 people would need to roughly triple to meet projected demand, a September 2026 report stated. Should global economic growth slow significantly, or if technological advancements lead to a dramatic reduction in the material intensity of AI infrastructure, the current supply-demand dynamics could shift. Conversely, any further delays in bringing new supply online or an acceleration in AI adoption beyond current projections would exacerbate the existing deficits and likely sustain upward price pressure on these critical materials.
Tags: Copper, Silver, AI Infrastructure, Commodity Supercycle, Freeport-McMoRan