For years, the assumption around artificial intelligence infrastructure was that serious compute would be built in places where hyperscale cloud, developer density, and capital were already concentrated: Silicon Valley, Seattle, London, and a small number of other technology hubs. There was a practical reason for these geographies. Training and deploying AI at scale requires data centers, compute, networking capacity, energy, and advanced infrastructure.