Finite energy and computing power now constrain the rapid expansion of AI. Tech companies face a critical bottleneck as power grids struggle to support massive data center demands. This resource scarcity forces a trade-off between scaling model capabilities and maintaining grid stability. Practitioners must now prioritize energy-efficient inference to sustain growth.