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Energy and AI Energy supply for AI
…the demand, followed by nuclear with 15%. It should be noted that this analysis considers the fuel mix of the electricity physically consumed by data centres (considering both onsite generation and electricity received through the grid, taking into account the fuel mix of the local electricity systems they are located in) rather than the contractual mix of different data centre operators.Taken together, renewables remain the fastest-growing source of electricity for data centres, with total generation increasing at an annual average rate of 22% between 2024 and 2030, meeting nearly 50% of the growth in data centre electricity demand…
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Energy and AI AI for energy optimisation and innovation
…AI-led interventions, as it factors in certain insurmountable structural issues that would block their complete adoption. For example, we consider variations in adoption by region by factoring in the availability of enabling digital infrastructure. AI applications for optimising energy systems Oil and gas companies have been among the earliest adopters of new technologies to boost exploration and production. In 2000, 11 supercomputers operated by oil and gas companies ranked among the world’s 500 fastest. By 2024, this number had increased to 24, and total computing capacity has grown at almost 70% annually, outpacing the broader supercomputing industry. AI…
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Energy and AI Executive summary
…International Energy Agency (IEA) special report seeks to fill this gap with the most comprehensive, data-driven analysis on the topic to date. Based on a new global model and comprehensive dataset of data centre electricity demand, its analysis was also enriched by an in-depth process of consultation with policy makers, the tech sector, the energy industry and other experts. Data centres account for a small share of global electricity consumption today, but their local impacts are far more pronounced Global investment in data centres has nearly doubled since 2022 and amounted to half a trillion dollars in 2024…
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Energy Efficiency 2025 Industry
…technologies and expanding access to dynamic electricity pricing to incentivise their use during low-demand hours.Material efficiency, such as through optimising design, light weighting, increasing scrap use in metals production, and enhanced recycling, is particularly important for efficiency progress in energy intensive industries. Other comprehensive policies can accelerate and enable efficiency improvements across end uses, such as the use of energy audits and energy management systems. Similarly, energy efficiency networks can improve peer-to-peer learning to enhance energy efficiency in a cost-effective way. Last, digitalisation-enabled AI, based on data collection and analysis throughout the production process…
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World Energy Outlook 2025 Overview and key findings
…electricity demand rises around 40% by 2035 in the STEPS, with similar trends in the other scenarios, largely due to increased demand for cooling. Data centres and AI account for less than 10% of global growth in electricity demand, but this is a larger factor in the United States where a large share of new data centres are located. Today, around 730 million people still live without electricity, and nearly 2 billion rely on polluting cooking methods. As things stand, the world is not on track to close this huge gap in the provision of modern energy. Our new analysis…
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Artificial Intelligence
…new trends and questions in April 2026.As the tech sector and energy industry become more intertwined than ever before, the IEA will continue to provide data and robust analysis to inform decision makers. It will also facilitate ongoing dialogue and collaboration among stakeholders, which is essential to maximising benefits and reducing risks. . Meeting electricity demand Data centres, AI and electricity demand The training and deployment of AI models mainly occurs in data centres. While traditional data centres use between 10 and 25 megawatts (MW) of power, demand by hyperscale AI centres can exceed 100 MW – equivalent to the annual…
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Key Questions on Energy and AI
Following the publication of the IEA’s landmark Energy and AI report in 2025, this report examines how the energy and AI nexus has evolved amid surging investment in data centres and rapid advances in model capabilities. Drawing on fresh datasets and analysis, it explores where electricity demand is rising, how quickly grids and supply chains can respond, and what these shifts mean for energy security, affordability and sustainability.
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Energy and AI in East Asia
…Agency (IEA) and the Korea Energy Economics Institute. The study has three objectives in the context of East Asia. First is to explore the possibilities presented by AI for the energy sector. Second is to examine the expected increase in electricity demand by data centres, and the impact on grid planning and operation. Third is to provide policy recommendations for embracing the opportunities presented by the application of AI to energy, as well as policies for proactively managing the challenges presented by the consumption of energy by AI. The analysis extends and updates the IEA’s existing analysis, Energy and AI…
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Energy and AI
…Electricity 2025 report to make it easier to explore and understand the analysis it contains. The agent has access to a general knowledge base for training purposes, but it cannot access additional sources materials or online resources. For detailed or official interpretations, please refer to the full report or contact the International Energy Agency. Be clear and specific: Provide detailed and specific instructions to get the most accurate and relevant responses. For example, instead of asking "Tell me about electricity trends," try, "Summarize the key findings on electricity demand from the Electricity 2025 report." Ask one question at a time…
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Energy and AI Energy demand from AI
…centres – at least at the scale seen today – are relatively new actors in the energy system at the global level. Today, electricity consumption from data centres is estimated to amount to around 415 terawatt hours (TWh), or about 1.5% of global electricity consumption in 2024. It has grown at 12% per year over the last five years. The rise of AI is accelerating the deployment of high-performance accelerated servers, leading to greater power density in data centres. Understanding the pace and scale of accelerator adoption is critical, as it will be a key determinant of future electricity demand…