Copper and steel requirements now dictate the pace of AI expansion more than software. Inter reports that energy grid limitations are creating severe bottlenecks for new facility deployments. This physical constraint forces developers to seek alternative power sources. Practitioners must now account for regional energy availability when planning large-scale model training and inference clusters.