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Global data center electricity consumption is projected to exceed 1,000 TWh by the end of 2026, driven almost entirely by AI workloads, raising concerns about grid strain, rising residential bills, and the limits of energy supply.
AI model training consumes enormous amounts of electricity, with a single GPT-4-level training run using as much power as hundreds of U.S. homes use in a year. Inference energy may already exceed training, and companies like Microsoft, Google, and DeepSeek are pursuing different strategies to address the growing conflict between AI progress and energy demand.