Sydney, Australia (October 30, 2024) – A study that was published in Nature Computational Science claims that the booming generative AI sector has the potential to increase global electronic waste by 2030, with current practices generating 2400 tonnes of e-waste each year already.
The research also highlights AI companies’ strive for computing power and this constant drive is creating an unprecedented cycle of hardware disposal.
“This is the first comprehensive study to quantify e-waste specifically tied to generative AI technologies,” says Dr. Asaf Tzachor, lead researcher at Reichman University.
It was noted that servers and graphic units are replaced every three years, a common practice in North America, Europe, and East Asia-based data centers as a way to stay relevant. This comes as global expenditure on artificial intelligence infrastructure hit $36 billion in the year 2023.
This is especially worrisome as all these regions have different regulations regarding e-waste management. Policy restrictions, including US limitations on advanced GPU exports, are compelling some facilities to use older, more inefficient technology, which only adds to the waste.
Nevertheless, the analysis provides encouragement thanks to circular economy solutions. E-waste can be reduced by up to 86% through hardware life extension and proper recycling practices. As the use of AI continues to grow, it becomes apparent that adopting responsible disposal practices needs to be incorporated into the operations of tech companies.
The study calls for immediate regulatory frameworks to manage this growing crisis, suggesting that the future of AI development must keep environmental sustainability as a priority alongside technological advancement.
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