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.

  • Cocodapuf@lemmy.world
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    2 months ago

    Or compare to the CO2 put out by global concrete construction. It’s more than some might believe.

    • DanglingFury@lemmy.world
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      2 months ago

      Yes but concrete is required. It is literally the foundation of modern civilization. It is the second most used substance on the planet after water. Without it we would have to do away with things like roads, power plants (green and carbon emitting), housing, water treatment and waste treatment plants, erosion control and seawalls, and most production facilities for all of our day to day goods and essentials.

      The industry is making steps to reduce its up front carbon cost and inrease captured carbon in the concrete, but it is slow moving as big changes can cause major problems with infrastructure. Noone wants their hospital falling down because they used a new mix design that hasn’t been thoroughly tested and tried.

      We dont work without concrete, but i’m pretty sure we do work without bitcoin.

      If your just looking at fun carbon emitting facts though, then aluminum smelting is another huge number like 4% globally. Concrete is like 7% globally, and HVAC is like 12%.

      https://sustainability.mit.edu/article/cleaning-one-worlds-most-commonly-used-substances#:~:text=Concrete is the second most,it’s used to make concrete.

    • FlorianSimon@sh.itjust.works
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      2 months ago

      Quit the whataboutism. While the construction industry is in dire need of improvements, it’s at least causing GHG emissions to achieve a useful goal, unlike ShitGPT which repeatedly fails to prove its value when opposed to its environmental costs.