US Dominates AI Via Infrastructure, Not Just Models

The global discourse surrounding artificial intelligence frequently centers on the comparative performance of AI models, such as their speed, capabilities, and cost-effectiveness. The emergence of affordable AI systems from Chinese companies like DeepSeek, z.ai, and Moonshot has amplified this focus, creating an impression of a diminishing technological gap with leading U.S. developers. However, this emphasis on models overlooks a fundamental determinant of AI leadership: control over the underlying infrastructure that underpins AI development and deployment. The United States' enduring dominance in the AI sector is intrinsically linked to its command over this essential hardware and network foundation.

The AI race is often framed as a competition between specific models, for instance, comparing Anthropic's Fable or OpenAI's GPT series against models like DeepSeek V4 or Moonshot's Kimi K3. This perspective also extends to hardware, with attention directed towards the AI chips used for training and operating these sophisticated models. Yet, the development of frontier AI relies on a much more extensive and capital-intensive infrastructure. This includes hyperscale data centers, robust cloud computing platforms, specialized AI servers, and the global network of underwater fiber-optic cables that facilitate high-speed data transfer. These foundational hardware layers are currently subject to significant influence from U.S. export controls, extraterritorial data extraction regulations, and the synergistic relationship between commercial technology and military interests.

Nvidia's business model serves as a prime illustration of how the U.S. maintains its hegemonic position within the AI ecosystem. As the world's most valuable company, Nvidia's strength is derived from its graphics processing units (GPUs), which are indispensable for training advanced AI models. Nvidia commands an estimated 85% of the global market for these critical chips. The company's influence extends beyond chip manufacturing to encompass a broader ecosystem that includes hardware manufacturers like Broadcom. Furthermore, major cloud hyperscalers such as Amazon Web Services, Google Cloud, and Microsoft Azure, which provide the essential infrastructure for leading AI developers including Anthropic, OpenAI, Meta, and Alphabet, are deeply integrated into Nvidia's network. A crucial element of this integration is Nvidia's CUDA software platform. CUDA has become the de facto standard for AI development, establishing high switching costs for developers and organizations seeking to transition to alternative platforms, thereby solidifying Nvidia's and, by extension, the U.S.'s technological advantage.