AI is already changing how the world works, but it’s also quietly making one of our biggest environmental problems even worse. And no, this isn’t about energy consumption this time. It’s about the hardware. Because every smarter AI model comes with a physical cost.
AI is about to supercharge the e-waste problem
According to a study published in Nature Computational Science (via Rest of World), the rapid rise of AI could add between 1.2 to 5 million metric tons of e-waste by 2030. The reason is pretty simple. AI relies on high-performance hardware like GPUs and specialized servers, and these don’t last very long. Most of this equipment gets replaced every 2 to 5 years, which means older hardware is quickly discarded as newer, faster systems take over.
Rest of World / Global E-Waste Monitor 2024And this is happening at scale. As companies
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