The largest capital expenditure cycle in modern economic history is running, and its physical requirements are, finally, Latin America’s problem. Global data center electricity demand will nearly double by 2030. Copper wiring carries the current that trains the models. Lithium stabilizes the batteries that store the energy. The raw materials of artificial intelligence are largely buried under Latin American soil, and the region’s position in the economy rising above them is now clear: indispensable below, absent above.
The numbers deserve their full weight. Hyperscalers committed more than $600 billion in capital in 2026. Venture capital concentrated $239 billion in AI companies in a single quarter. BlackRock projects an additional $5 to $8 trillion in AI infrastructure through 2030. The physical dimension of this buildout connects the intelligence economy to the geology of the Andes and the hydroelectric capacity of the Amazon basin. Copper demand is rising 110,000 metric tons annually from data centers alone. Lithium markets are moving from surplus to deficit as battery storage scales to match AI’s electricity appetite. Latin America holds precisely the reserves the buildout requires. The region is not reading this as the structural matter it is.
This is where the argument turns uncomfortable. Latin America has been in this position before.
In the early years of this century, the region’s commodities fed China’s industrialization. Copper prices tripled. Soy exports multiplied. Governments collected royalties, sovereign funds accumulated assets, and the terms of trade moved in the region’s favor for nearly a decade. What the region did not build was the institutional capacity, the industrial base, or the knowledge economy to participate in the value being created upstream. When the supercycle ended, the royalties ended with it. The structural position was unchanged.
The AI buildout is not a commodity supercycle in the classical sense. The technology is newer, the pace faster, the geopolitical stakes sharper. But the structural position Latin America is being assigned is recognizable: supplier of the inputs, consumer of the output. Seventy percent of the leading foundation models are built in the United States. Twenty-five percent in China. The Inter-American Development Bank projects regional growth at 2.1 percent in 2026, below the emerging market average, even as the region supplies the physical substrate of the most consequential capital cycle in modern history. The region has no equity stake in what is being built on top of its copper.
The region does have AI activity. Brazil’s startup ecosystem is producing companies of genuine scale. Its regulatory framework is the most advanced in the hemisphere. Chile and Mexico lead regional AI readiness indices. Peru is developing AI skills at one of the fastest rates in the region, according to the IDB. These are not trivial facts, and they are not the point. Activity at the adoption layer is not the same as participation at the production layer. Training workers to operate AI systems is not the same as building the systems. Acquiring a US data-intelligence company, as Nubank did, is not the same as developing the intelligence capability in-house. The distinction matters because value concentrates at the production layer, and it has never done otherwise.
What makes the present moment consequential is not the size of the buildout. It is the pace at which the value chain is consolidating. Foundation model leadership is concentrating in a handful of firms. Infrastructure is concentrating in five hyperscalers. The window to position as a producer rather than a consumer is measured in years, not decades. Sovereign AI programs in France, Germany, Saudi Arabia, and India are being designed precisely because their governments understand that the transition from AI consumer to AI producer becomes structurally harder the longer it is deferred. These are not technology investments. They are bets on where in the value chain their economies will sit when the buildout is complete.
Latin America is not having that conversation at scale. The region is having a regulatory conversation, a talent conversation, and a startup conversation. All of those matter. None of them address the foundational question: in the economy organized around intelligence, what will Latin America produce?
The copper and the lithium will be extracted regardless of how that question is answered. The issue is what gets built alongside them.