The AI boom is driving a historic infrastructure expansion, with data centers, power grids, and supply chains struggling to keep pace. Specialized chip architectures are replacing general-purpose designs, creating regional disparities in innovation and deployment. Network efficiency has become critical, especially for inference and reinforcement learning workloads. Meanwhile, companies like Google are reengineering their entire software stacks to be hardware-agnostic, enabling smoother transitions across platforms. The cultural shift within engineering teams—adapting to AI-powered coding tools—is proving more challenging than the technical hurdles. Despite rapid progress, we're still in the early stages of this CapEx cycle, with co-design between hardware, software, and networking essential for future scalability. AI-driven productivity gains of 2–3X are expected soon, particularly in coding, legal, sales, and product development, as intelligent systems move beyond simple model wrappers to deeply integrated solutions.