AI growth is accelerating, but the infrastructure behind it is struggling to keep pace. Delays in data center construction, power limitations, and hardware supply issues are creating a gap between demand and real-world capacity. As companies push forward with advanced models and applications, this hidden constraint could slow deployment and increase costs. The next phase of AI may depend not just on innovation, but on how quickly the supporting systems can catch up.