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Tech’s dirty secret: how to face up to dark data in the AI boom
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The AI boom and dark data significantly strain global energy resources. Data centers consume 460 terawatt hours annually, projected to double by 2026. Dark data, comprising 68% of stored data, includes unnecessary content like cat memes, exacerbating energy waste. AI models like OpenAI's ChatGPT3 and Google's Gemini contribute to rising carbon emissions, with Google's emissions increasing by 48% since 2019. The demand for infrastructure, such as Europe's largest data center in the UK, highlights the environmental impact, with concerns over whether AI's benefits justify its energy costs.
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