The US-China AI race isn't just about who builds the smartest models anymore; it's increasingly about who controls the physical infrastructure that makes those models possible. While Silicon Valley and Chinese tech hubs dominate headlines, a new analysis reveals that countries like Brazil and Kazakhstan are quietly positioning themselves as critical players by controlling the minerals, electricity, and supply chains that underpin the entire AI economy.

What Makes Physical Infrastructure the New Battleground in AI Competition?

Building a cutting-edge AI model requires far more than brilliant engineers and billions in funding. It demands massive data centers powered by continuous electricity, cooled by sophisticated systems, and connected by high-capacity networks. The International Energy Agency estimates that global electricity demand for data centers will more than double from around 460 terawatt-hours in 2024 to over 1,000 terawatt-hours by 2030. That's a staggering increase, and it creates a critical vulnerability: the IEA warns that grid constraints could delay roughly one-fifth of all planned data-center capacity globally by 2030.

This infrastructure challenge extends beyond just plugging in servers. Expanding electrical grids requires copper for transmission lines, substations, and transformers. Renewable energy systems and batteries need graphite and rare earth elements. These materials must be mined, refined, manufactured into usable components, and transported across borders before they can support an operating data center. The supply chain is heavily concentrated; the three largest refining countries account for an average of 86 percent of supply across major energy minerals including copper, graphite, and rare earth elements.

How Can Countries Without AI Superpowers Gain Leverage?

The traditional view of the AI race assumes that power flows only to countries that build the most advanced models. But that map is incomplete. States can gain significant bargaining power by offering the critical infrastructure that superpowers desperately need. A country may not produce a leading model, yet still occupy a valuable position if it supplies a difficult-to-replace mineral, provides reliable low-cost energy, or controls key trade routes.

Brazil and Kazakhstan represent two different strategies for converting geographic and resource advantages into geopolitical influence:

• Scale and Coalition Building: Brazil enters the AI supply chain with a large domestic market, established mining sector, and broad resource base that outside powers cannot easily ignore. Its leverage depends on negotiating terms that include foreign investment, domestic processing capacity, and a greater role in industries built around its resources.
• Strategic Connectivity: Kazakhstan cannot rely on scale, but its location gives it strategic value as competing powers search for more secure routes, suppliers, and partnerships. Its strategy rests on maintaining options across multiple relationships rather than tying itself too closely to any single partner.
• Diplomatic Flexibility: Both countries can derive influence from their ability to hedge between the United States and China, preserving economic and diplomatic flexibility while enhancing their geography to larger powers seeking alternatives to existing supply chains.

What Specific Advantages Does Brazil Bring to the AI Supply Chain?

Brazil's position is particularly interesting because it extends beyond a single mineral deposit. The country holds reserves of minerals used across energy and technology supply chains, and its industrial base gives it greater scope than many resource-rich states to pursue processing and manufacturing at home rather than simply exporting raw materials.

Brazil's government has framed critical-mineral policy around the objective of retaining more investment, technical knowledge, and employment within the country. Refining minerals, producing specialized materials, and building related industrial capacity would create more value domestically than extraction alone. The competition among China, the United States, and Europe for secure mineral access strengthens Brazil's bargaining position significantly. Each major power is seeking more diversified access to minerals that support energy systems and advanced manufacturing, giving Brazil multiple potential partners to negotiate with.

How Are Geopolitical Tensions Affecting Chip Access and AI Development?

While infrastructure and minerals represent long-term leverage, the immediate AI race continues to be shaped by export controls and chip access. Recent developments illustrate how tense the competition remains. China's Ministry of Industry and Information Technology warned users about security risks in Anthropic's Claude Code product, claiming that the AI tool's "built-in monitoring mechanism" could send sensitive user information to remote servers without consent. Anthropic responded by confirming that it had embedded hidden code in Claude Code to track user locations in an attempt to prevent unauthorized copying of its models, though the company noted that Chinese users were never authorized to use the product in the first place.

Meanwhile, signs of potential thawing in US-China relations have emerged. China has approved imports of up to 200,000 Nvidia H200 chips for major technology companies including Alibaba and ByteDance, though the final quota is expected to fall short of 200,000 units. This represents a significant concession, as Nvidia shipped none of these chips to China during the first half of 2026 while Beijing urged domestic firms to prioritize homegrown processors instead. Chinese officials have stressed that any imported H200 chips would be reserved for training advanced AI models rather than routine daily inference work, which is expected to rely on domestically produced processors.

Why Does Control Over Infrastructure Matter More Than Most People Realize?

The shift toward viewing infrastructure as a source of power represents a fundamental change in how geopolitical competition works in the AI era. The United States and China retain structural advantages through their control of advanced technology, capital, and the rules that shape access to both. However, their decisions about where to build infrastructure, who can acquire key components, and which countries can move up the value chain increasingly depend on securing reliable supplies of materials and energy from countries like Brazil and Kazakhstan.

As competition between Washington and Beijing intensifies, resources, geography, and diplomatic flexibility may carry more weight than they did before. A disruption in refining capacity, transport routes, or access to grid equipment can affect the pace at which AI infrastructure is built globally. This gives middle powers and strategically located countries unprecedented leverage to negotiate better terms for their participation in the AI economy.

The AI race, in other words, is becoming less about who has the smartest engineers and more about who controls the physical systems that make advanced AI possible. For countries like Brazil and Kazakhstan, that shift represents an opportunity to punch above their weight in one of the most consequential competitions of the 21st century.