The market is at the start of the next commodity supercycle, according to energy strategist and investor Jeff Currie of the Carlyle Group.
In a thread posted to X on Friday morning, Currie laid out a multipronged argument for why the market is right at the beginning of the next years-long rally cycle for commodities that he called “the most asymmetric trade in modern financial history.”
First, the artificial intelligence trade faces major bottlenecks, even as four of the “Magnificent Seven” companies — Alphabet (GOOG, GOOG), Meta (META), Microsoft (MSFT), and Amazon (AMZN) — are expected to spend more than $700 billion on capital expenditures in 2026 alone.
One of those bottlenecks is in physical materials. The Iran conflict has triggered the largest energy supply shock in history as the oil market has lost more than 13.7 million barrels per day, according to Goldman Sachs. Traders argue that even after the war resolves, the playing field for the Persian Gulf — one of the most important supply markets in the world for everything from energy and metals to fertilizers — has changed.
At the same time, the metals complex has raced ahead, with demand for copper (HG=F), aluminum (ALI=F), and other metals booming, even as the world’s top 20 miners are spending 40% less than they were at the peak of the last supercycle in 2012, Currie said.
Another one of those bottlenecks is compute capacity. As leading AI labs, such as Anthropic (ANTH.PVT), OpenAI (OPAI.PVT), and Google’s DeepMind, have pushed the boundaries of their frontier models, computing has emerged as a key constraint.
The demand has reached such a fever pitch that the Chicago Mercantile Exchange is now working on constructing a futures market for compute, benchmarked to the rental prices of graphics processing units (GPUs). Shares in Cerebras (CBRS), a chip designer looking to rival Nvidia (NVDA), opened at a 90% premium to their IPO price when the company went public on Thursday.
All of that compute capacity relies on the physical infrastructure of semiconductor materials and manufacturing, from energy to metals.
“The opportunity exists because capital has chased the AI trade while ignoring the physical assets AI requires to run — assets that have quietly become the best-performing asset class of the decade,” Currie wrote.
