{"id":259,"date":"2026-02-24T18:55:28","date_gmt":"2026-02-24T19:55:28","guid":{"rendered":"https:\/\/huientextile.com\/?p=259"},"modified":"2026-03-05T15:05:05","modified_gmt":"2026-03-05T15:05:05","slug":"ais-sustainability-blind-spot-electronic-waste","status":"publish","type":"post","link":"https:\/\/huientextile.com\/index.php\/2026\/02\/24\/ais-sustainability-blind-spot-electronic-waste\/","title":{"rendered":"AI\u2019s Sustainability Blind Spot: Electronic Waste"},"content":{"rendered":"
Over the past year, my research has first highlighted the rapidly growing power demand of AI systems, followed by an assessment of the associated carbon and water footprints.<\/p>\n
<\/span><\/p>\n Today, my latest research\u2014published in Resources, Conservation & Recycling\u2014addresses another, often overlooked consequence of the expanding AI infrastructure: electronic waste.<\/p>\n While this is not the first attempt to examine AI-related e-waste, it is the first estimate grounded in supply-side data, rather than inferred from demand-side assumptions.<\/p>\n The main findings are as follows:<\/p>\n\n