Generative AI Could Generate Millions More Tons of E-Waste by 2030
Briefly

from www.scientificamerican.com4 months ago
Every interaction with generative AI, from drafting emails to creating images, incurs hidden environmental costs, revealing the urgent need for sustainable tech practices.
www.scientificamerican.comhttps://www.scientificamerican.com/article/generative-ai-could-generate-millions-more-tons-of-e-waste-by-2030/
The impending surge in global AI electricity consumption could match that of the Netherlands by 2027, highlighting the urgent need for energy-efficient AI technologies.
www.scientificamerican.comhttps://www.scientificamerican.com/article/generative-ai-could-generate-millions-more-tons-of-e-waste-by-2030/
Generative AI applications could contribute significantly to e-waste, potentially adding 1.2 to 5 million metric tons by 2030, exacerbating global waste challenges.
www.scientificamerican.comhttps://www.scientificamerican.com/article/generative-ai-could-generate-millions-more-tons-of-e-waste-by-2030/
E-waste, often containing hazardous materials, poses serious environmental risks when poorly disposed of, underscoring the need for stringent recycling and disposal practices.
www.scientificamerican.comhttps://www.scientificamerican.com/article/generative-ai-could-generate-millions-more-tons-of-e-waste-by-2030/
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#generative-ai #environmental-impact #e-waste #energy-consumption #sustainability
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