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[UNEP CCC] Business Models and Finance to Enhance Energy Efficiency in AI and Data Centres in Emerging Economies |
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분류 | UNEP CCC |
The rapid rise of artificial intelligence (AI), cloud computing, and digital services is fuelling a surge in electricity demand from data centres, particularly in emerging economies. While digital infrastructure is essential for development, the energy it consumes risks overwhelming fragile power systems, competing with other energy uses, driving up costs, and undermining climate goals. According to the IEA, global data centres consumed around 460 TWh in 2022, corresponding to about 2% of global electricity demand. With AI adoption expanding rapidly, total energy use could double by 2026, surpassing 1,000 TWh1, primarily driven by AI training workloads and large-scale inference systems. AI models are especially power-intensive, with training alone for a single large model demanding hundreds of MWh, and inference workloads becoming a major contributor as deployment scales. These trends pose significant risks for power systems in emerging economies already grappling with access, reliability, and affordability issues. As AI and digital infrastructure continue to grow, new financing models and business strategies are essential to ensure this expansion is energy-efficient, climate- aligned, and inclusive. Key Messages
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출처 | UNEP CCC |
원문보기 |
이전글 | [기타] WMO Greenhouse Gas Bulletin - No. 21 |
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다음글 | [기타] Green Procurement Playbook: The CPO’s Guide to Delivering Value for Business and Planet |