Goldman Sachs: The Intersection of AI and Commodity Markets
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Goldman Sachs explores the transformative impact of artificial intelligence on global commodity markets, highlighting profound demand-side and supply-side implications. The rapid expansion of AI data centers is expected to drive a massive surge in power consumption, with global data center electricity usage projected to double by 2026. This infrastructure build-out will significantly boost demand for industrial metals, particularly copper and aluminum. By 2030, AI-related construction could generate an additional one million tons of copper demand, representing roughly 4% of current global production, while aluminum requirements may increase by 500,000 tons by 2027 for cooling systems and structural components. Conversely, AI-driven energy efficiency optimizations are projected to reduce oil demand by approximately 2 million barrels per day by 2030. Natural gas will serve as a critical transitional fuel, benefiting from heightened peaking power requirements. The firm maintains an overweight stance on both copper and aluminum, setting 2025 price targets of $10,500 per ton and $2,800 per ton, respectively. For targeted equity exposure, Goldman Sachs assigns Buy ratings to Freeport-McMoRan (FCX) with a $55 target, Alcoa (AA) with a $45 target, and Cheniere Energy (LNG) with a $180 target.
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