To address the rising environmental, energy, and connectivity constraints of scaling massive artificial intelligence workloads, the work proposes a Multi-Domain Global AI Infrastructure (MDGAI) framework that strategically distributes computing factories across land-based, floating ocean, submerged, and orbital environments by matching workload demands with regional environmental advantages. The work characterizes the transition from enterprise data centers to hyperscale AI factories; quantifies the coupled constraints of electricity, carbon, cooling, water, network capacity, serviceability, sovereignty, and resilience; and proposes Multi-Domain… United States #ImpactAwards2026 #CleanEnergyAndEmissions #SustainableProductionAndConsumption