Artificial-intelligence workloads are changing how data centers are planned, located, designed, and expanded. Facilities intended to support AI training, inference, high-performance computing, and data-intensive applications must respond to demanding power, cooling, connectivity, equipment, and operational requirements. For developers, owners, architects, engineers, contractors, and investors, learning how to build AI data center infrastructure begins before a building layout