As the industry approaches 2026, AI growth is increasingly constrained not by software innovation, but by the availability, integration, and coordination of physical components: GPUs, accelerators, memory, networking fabrics, power delivery equipment, and cooling-ready server. As the industry approaches 2026, AI growth is increasingly constrained not by software innovation, but by the availability, integration, and coordination of physical components: GPUs, accelerators, memory, networking fabrics, power delivery equipment, and cooling-ready server. While much of the public conversation around AI focuses on models, platforms, and applications, the true determinant of AI scalability lies much deeper—inside the hardware supply chain that feeds modern data centers. As the industry approaches 2026, AI growth is increasingly constrained not by. The rapid advancement of artificial intelligence (AI) relies on a complex supply chain comprising five key layers: hardware, cloud infrastructure, training data, foundation models and AI applications. This paper examines the market structure of each layer and highlights the economic forces shaping. What is the AI data center value chain? The AI data center value chain encompasses the full ecosystem of companies that design, manufacture, assemble, and operate the computing infrastructure powering artificial intelligence workloads. While cloud hyperscalers and GPU suppliers continue to expand their own infrastructure, they are also driving strong demand for AI servers to support.