AI's Unseen Consequence: Escalating the E-Waste Epidemic

New studies indicate the rise of generative AI could lead to millions of tonnes of electronic waste by 2030, an issue as severe as discarding billions of smartphones annually – but smarter reuse & recycling strategies could significantly mitigate the problem.
31 October 2024
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As technology advances at a rapid pace, so does the production of electronic waste (e-waste). A recent study has shed light on the emerging threat posed by Generative AI, estimating that by 2030, these data centres will generate millions of tonnes of e-waste, equivalent to discarding billions of smartphones every year. This technological revolution not only reshapes the way we live and work, but it also significantly impacts our environment.

The study, conducted by researchers at Israel's Reichman University, dives into the core of our tech-driven era, points to the massive data centres that are continually growing to accommodate generative AI technologies. They estimate that generative AI could generate up to 2.3 million tonnes of e-waste per year by 2030. As companies compete to build bigger and better AI models, they plough through truckloads of computer parts, adding thousands of tonnes to the e-waste stream.

Right now, e-waste – any product with a battery or plug – is the fastest-growing waste stream on the planet. However, not all is lost. The same study also reveals that by slightly extending the life span of data centre servers and reusing their parts, we could decrease this figure by a staggering 86%. This shows that the key to addressing this mounting issue lies in the adoption of circular economy strategies that promote reusing and recycling, alongside technological advancement.

- CyberBeat 

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