Generative AI technology could create between 1.2 and 5 million tonnes of e-waste between 2020 and 2030, predicts new research in Nature Computational Science. The rapid rise of generative AI requires upgrades to hardware and chip technology, which means more and more electronic equipment is becoming obsolete. E-waste can contain toxic metals including lead and chromium, as well as valuable metals such as gold, silver, platinum, nickel and palladium. The study authors say that implementing strategies to reduce, reuse, repair, and recycle out-of-date equipment from data centers could reduce e-waste generation by as much as 86%.
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TLDR:
Generative AI technology could create between 1.2 and 5 million tonnes of e-waste between 2020 and 2030, predicts new research in Nature Computational Science. The rapid rise of generative AI requires upgrades to hardware and chip technology, which means more and more electronic equipment is becoming obsolete. E-waste can contain toxic metals including lead and chromium, as well as valuable metals such as gold, silver, platinum, nickel and palladium. The study authors say that implementing strategies to reduce, reuse, repair, and recycle out-of-date equipment from data centers could reduce e-waste generation by as much as 86%.
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