cross-posted from: https://lemmy.ml/post/20289663

A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.

The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.

  • @alienanimals@lemmy.world
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    102 months ago

    “The only way to interpret statistics is with a healthy dose of skepticism and a thorough understanding of their context.”

    While people in this thread jump at the opportunity for this slice of statistics to affirm their confirmation biases, intelligent people will ask what the total carbon dioxide output looks like by comparison.

    • @Facebones@reddthat.com
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      102 months ago

      You’re quick to imply that this study is bullshit, yet offer no counter argument except “believing statistics is for losers lul”

      So where are your sources to refute the article?

      • @NocturnalEngineer@lemmy.world
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        72 months ago

        Ita also trivial to come to the same conclusion at a smaller scale.

        You can run a LLM at home and see the amount of GPU & power resources it takes to compute the larger models. If I ran that full time, your household bill will most likely be 3x alone.

      • @alienanimals@lemmy.world
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        32 months ago

        Never said the study was bullshit. I just said to look at the bigger picture.

        I would show you how Google works and provide an article, but your reading comprehension leads me to believe you’d come up with another straw man fallacy to support your confirmation bias.