By Uma Vatsa and Shailesh Mishra
The AI industry is making large, long-lived bets on future demand, even as the technology itself is becoming more efficient. If AI systems become cheaper to run, more efficient to train, or less dependent on massively centralized compute, some of today’s infrastructure may prove oversized, poorly located, or economically fragile.
















