The International Energy Agency (IEA) has unveiled a pioneering observatory that provides up-to-date information on data center power consumption and the growing role of artificial intelligence in the energy sector. of artificial intelligence in the energy sector. This initiative seeks to address the growing concern about the energy impact of digital infrastructures.
According to the IEA, the new Energy and AI Observatory will enable a more accurate analysis of regional electricity demand linked to data centers. data centersthrough visual and interactive tools. This will facilitate the formulation of more informed energy policies at both national and international levels.
How does the AI and Energy Observatory reveal industrial uses?
[post_relacionado]On the other hand, the platform also presents twenty use cases in which AI is being employed to optimize operations in sectors such as construction, education and manufacturing. Among them is the solution of Ørsted, which has developed a virtual wave buoy has developed a virtual wave buoy with machine learning to estimate maritime parameters when the physical sensor fails. This tool, deployed in offshore wind farms, already generates estimated annual savings of DKK 5 million.
With data indicating that data center power consumption could more than quadruple by 2030 due to the rise of AI, the IEA reinforces the need for continuous monitoring and international collaboration. This observatory was announced during the AI Action Summit in Paris, reflecting the G7 countries’ commitment to a sustainable digital transition.
Global collaboration for a sustainable digital transition
The initiative also complements the report released in April 2025, considered the most comprehensive analysis to date on energy and artificial intelligence. The IEA will continue to gather evidence and bring together policy makers and technology experts to anticipate the impact of this technological convergence.
The Observatory is available to the public and aims to become a reference tool for governments, industry and academia in the energy management of the digital ecosystem.
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Source and photo: IEA