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Generative AI could create 1,000 times more e-waste by 2030
Generative AI could create 1,000 times more e-waste by 2030 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
Peng Wang and colleagues computed a forecast of the potential amounts of e-waste produced by generative AI, focusing on large language models, between 2020 and 2030. The authors suggest that the implementation of a circular economy strategy (where the lifespan of existing infrastructure is expanded and/or key modules and materials are reused in the remanufacturing process), could reduce e-waste generation by as much as 86%. The findings highlight the need for responsible generative AI usage and proactive e-waste management strategies to reduce the harmful impacts of pollution.
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