"We found that the e-waste generated by generative AI, particularly large language models, could increase dramatically potentially reaching up to 2.5 million tons per year by 2030 if no waste reduction measures are implemented," said Asaf Tzachor, an expert in sustainable development at Reichman University in Israel, and a co-author of the study.
"This presents a tremendous opportunity for reducing the waste stream if these practices are widely adopted. It's clear from this study that the nature of the e-waste crisis is global, which is why it's important to focus on cross-border e-waste management," said Saurabh Gupta, founder of Earth5R, an Indian-based sustainability organization.
"Reducing e-waste is important because improper disposal leads to the release of hazardous materials, like lead and mercury, which harm ecosystems and human health," Gupta told DW via email.
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