Quellen & Methodik:

    Strom (Twh/Jahr)

    • World Total: 24.398 TWH im Jahr 2022 – IEA Elektrizität 2024 (Link)
    • Sektoraktien: Industrie 42,2%, Wohnsitz 26,8%, Gewerbe/Öffentlichkeit 21,1%, Transport 1,8%, Landwirtschaft/Forstwirtschaft 3,1%, andere 5,0 – IEA -Energiebilanzen (zusammengestellter Tisch)
    • Rechenzentren (Gesamt): ≈ 415 twh im Jahr 2024 – IEA -Energie und KI (Link)
    • KI -Workloads (Projektion): 110 Twh im Jahr 2027 (Mittelpunkt von 85–134 TWH) – de Vries, A. (2023) Joule (Link00365-3))

    Anmerkungen:

    • KI-Werte sind szenariobasierte Projektionen, nicht gemessene Gesamtzahl.
    • Die Jahre unterscheiden sich aufgrund der Datenverfügbarkeit: Die Aktien des Stromsektors betragen 2022, die Wasseranteile sind ~ 2017, AI -Zahlen sind Projektionen für 2027.
    • Blasenbereiche codieren die Größe; Zahlen in Blasen zeigen den Wert.

    Von ContributionMost8924

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    7 Kommentare

    1. I can’t follow your graph at all. Is the y axis the usage or the size of the circle? What are the units on y if not TWh? How and why are the circles in their order?

    2. Good context. I think the comma in the bigger numbers like „10,296“ TWh, if reading this correct needs to be bigger, as shown it looks like a dot, or 10.296.

    3. Underplaying the devastating waste of hu(wo)man resources that AI causes is honestly borderline facist.

    4. What a rubbish graph, just use a bloody bar chart. Definitely not beautiful.

    5. PocketsOfSalamanders on

      This is a garbage plot.

      It’s misleading to put all of industry usage into one group but make AI and data centers their own group.

      Industry is too broad of a category to appropriately and accurately compare to AI power usage.

      Additionally, AI heavily relies on data centers to function.

      So the only thing this plot tells me is that the person who made it has a boner for AI.

    6. tert_butoxide on

      You could have titled this „AI electricity use, decontextualized“ tbh. The impact of AI energy demand will depend on national and local contexts, since energy and water resources are localized. Even at the very broad view of energy use by sector, your links show huge differences between countries. 

    7. MonkeyWrench247 on

      If you used average, rather than summation, I’m guessing AI would come out on top

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