AI adoption is driving unprecedented demand in data centers, significantly increasing energy consumption and straining sustainability goals. Training large models requires massive compute power, while inference workloads add ongoing demand. This trend challenges operators to balance performance, cost, and environmental responsibility. The report highlights innovations such as liquid cooling, renewable integration, and advanced workload management to improve efficiency. Collaboration across policymakers, cloud providers, and enterprises is essential to align AI growth with carbon reduction. Without sustainable practices, escalating power use could offset gains from digital transformation and hinder global climate commitments.

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