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AI Data Centers Face a Stranded Power Problem That Could Be Converted Into Computing Capacity

AI data centers consume part of their available electrical capacity because of backup power systems and reliability requirements, leaving capacity that is not actually used. The analysis examines voltage-reduction and load-management techniques that could enable this capacity to be utilized while allowing rapid fallback when one power source fails, although scheduling, security, and fault-response challenges remain.