Strategic advantage in AI no longer rests on models or chips alone, but on controlling the entire operational chain. This includes industrializing compute, securing supply chains, managing energy grids, and establishing governance for adoption, turning disparate assets into strategic power.

The growth of AI is constrained not by chip design but by inputs like energy and High Bandwidth Memory (HBM). This shifts power to component suppliers and energy providers, allowing them to gain leverage, demand equity, and influence the entire AI ecosystem, much like a central bank controls money.

While the West obsesses over algorithmic superiority, the true AI battlefield is physical infrastructure. China's dominance in manufacturing data center components and its potential to compromise the power grid represent a more fundamental strategic threat than model capabilities.

The contest for AI dominance is no longer just about having the best models or blocking chip access. The real power now lies in controlling the entire ecosystem: financing, hosting, powering, securing, and regulating AI across its full stack.

While semiconductors get the headlines, the AI supply chain's vulnerability is equally high in thousands of other inputs like precision reducers, server motors, and actuators. The US strategy focuses on these less-visible but critical areas, particularly the robotics supply chain, which is almost entirely dominated by China.

A key strategy for middle powers is to offer fast, efficient data center construction to leading US AI labs. In return for alleviating the labs' 'inference crunch', these nations can negotiate guaranteed access to new frontier models at the same level as the US commercial market, ensuring they aren't left behind.

Former White House advisor Ben Buchanan argues that contrary to the popular phrase "data is the new oil," computing power is the true bottleneck and driver of AI progress. This physical reality—advanced chips primarily made by democracies—creates a powerful geopolitical lever to influence nations like China.

The abstract race for AI superiority is now grounded in physical reality. Control over electricity grids, cooling, and land for data centers has become as strategically important as semiconductor supply chains, shaping who can scale frontier AI.

Winning the AI race isn't just about technological superiority. It requires a three-part strategy: having the best qualitative models, ensuring they are widely adopted globally, and securing the entire physical supply chain they depend on. Exquisite models no one uses are irrelevant.