Gartner said that AI could consume 3.5% of the world’s electricity by 2030
The analyst firm suggests that moving to data centers powered by renewable energy could lessen energy demands
Silverlinings has already started to cover the energy concerns thrown up by AI
The firm is predicting that by 2030, AI could consume up to 3.5% of the world’s electricity. For context, global energy usage tallied approximately 25,500 terawatt-hours in 2022, according to Statista.
Want to discuss AI workloads, automation and data center physical infrastructure challenges with us? Meet us in Sonoma, Calif., from Dec. 6-7 for our Cloud Executive Summit.
“AI consumes a lot of electricity and water,” noted Pieter den Hamer, VP Analyst at Gartner in a press release. He said that executives could prioritize cloud data centers powered by renewable energy.
“Gartner’s 2023 CEO survey showed that environmental issues entered the top 10 priority ranking for the first time in the history of the survey,” noted Bettina Tratz-Ryan, VP analyst at Gartner in a recent statement.
Silverlinings is already hot on the AI energy issue, covering both the initial energy worries, and noting the New York Times’ concern that AI could require as much electricity as countries like Argentina or Sweden by 2027:
And specific issues related to data center deployment:
We’ll be sure to deliver more info on AI energy concerns as more data arrives.