AI energy use comes from the physical infrastructure behind the software: chips, servers, data centers, cooling systems, cloud platforms, and power grids. AI uses energy because training and running models require large amounts of computation. But behind this innovation lies a growing environmental footprint. In 2023, data centers consumed 4. electricity—a number that could triple by 2028. Most AI servers are stored in data centres, which produce electronic waste and can contain toxic chemicals, such as mercury and lead. In 2024-2025, record investments in data centers were recorded – it is estimated that in 2025 alone, as much as USD 580 billion was spent globally on AI-focused data center. Data centers—facilities housing computer servers, storage systems, and networking equipment—currently account for approximately 1-2% of worldwide electricity consumption, translating to roughly 300-400 terawatt-hours (TWh) annually. This figure, already substantial, is poised for dramatic growth as. Key Takeaways: Power for AI data centers is driving unprecedented infrastructure transformation, with facilities requiring 50-150 kilowatts per rack compared to traditional 10-15 kilowatts.