Below, we summarize hard data, statistics and trends from 2024-2025 as well as forecasts for 2026, focusing on energy consumption by data centers (both AI model training and their inference), the impact of this phenomenon on the energy sector (energy mix . Below, we summarize hard data, statistics and trends from 2024-2025 as well as forecasts for 2026, focusing on energy consumption by data centers (both AI model training and their inference), the impact of this phenomenon on the energy sector (energy mix . As argued in the Brookings Press book, “Turning Point: Policymaking in the Era of Artificial Intelligence,” it is powering applications in finance, health care, education, transportation, defense, and e-commerce, among other sectors. AI's ability to process large amounts of information and act. Data centers, where AI models are trained and run, are becoming some of the largest new electricity consumers in the world. 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. The International Energy Agency (IEA) projects that data center electricity consumption could double by 2030, potentially reaching 600-800 TWh annually. This surge is driven primarily by the explosive growth in artificial intelligence workloads, which require significantly more computational power. Global electricity demand from data centers is set to more than double to 945 TWh by 2030, equivalent to Japan's current total power consumption, as artificial intelligence drives unprecedented growth in the sector's energy needs, the International Energy Agency said April 10.