{"id":14657,"date":"2025-04-10T14:59:02","date_gmt":"2025-04-10T14:59:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=14657"},"modified":"2026-10-25T14:50:36","modified_gmt":"2026-10-25T14:50:36","slug":"power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2025\/04\/power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030\/","title":{"rendered":"Energiehungrige KI wird bis 2030 einen Energieverbrauch in der Gr\u00f6\u00dfenordnung Japans verursachen."},"content":{"rendered":"

K\u00fcnstliche Intelligenz belastet bereits jetzt die Stromnetze weltweit, aber laut einem neuen Bericht stehen wir erst am Anfang.\u00a0<\/strong><\/p>\n

Bis 2030 werden KI-Rechenzentren fast so viel Strom verbrauchen wie ganz Japan heute, so die Prognose. neueste Prognosen<\/a> von der Internationalen Energieagentur (IEA).<\/span><\/p>\n

Die heutigen Rechenzentren verbrauchen bereits etwa 1,5 % der weltweiten Elektrizit\u00e4t<\/a> Das entspricht etwa 415 Terawattstunden pro Jahr. Die IEA geht davon aus, dass sich dieser Wert bis 2030 auf fast 950 TWh mehr als verdoppeln wird, was einem Anteil von fast 31.060 Terawattstunden am weltweiten Stromverbrauch entspricht.<\/span><\/p>\n

Die spezialisierte Hardware, auf der KI-Systeme laufen, ist der eigentliche Stromverbraucher. Der Strombedarf dieser \u201cbeschleunigten Server\u201d wird bis 2030 j\u00e4hrlich um sage und schreibe 301 Tsd. 6 Tonnen steigen, w\u00e4hrend der Bedarf herk\u00f6mmlicher Server mit lediglich 91 Tsd. 6 Tonnen pro Jahr deutlich geringer ausf\u00e4llt.<\/span><\/p>\n

Einige bereits im Bau befindliche Rechenzentren werden so viel Strom verbrauchen wie 2 Millionen durchschnittliche Haushalte, w\u00e4hrend andere, die bereits f\u00fcr die Zukunft angek\u00fcndigt wurden, den Verbrauch von 5 Millionen oder mehr Haushalten erreichen werden.\u00a0<\/span><\/p>\n

\"IEA\"
Manche Rechenzentren verbrauchen m\u00f6glicherweise mehr Strom als 4 Millionen Haushalte. Quelle: IEA.<\/figcaption><\/figure>\n

Eine sehr ungleiche Verteilung<\/b><\/h2>\n

Bis 2030 werden amerikanische Rechenzentren etwa 1.200 Kilowattstunden (kWh) pro Person verbrauchen \u2013 das entspricht ungef\u00e4hr 10 % des Jahresverbrauchs eines gesamten US-Haushalts und ist laut IEA \u201cum eine Gr\u00f6\u00dfenordnung h\u00f6her als in jeder anderen Region der Welt\u201d. <\/span>Afrika wird unterdessen kaum 2 kWh pro Person erreichen.<\/span><\/p>\n

Regional ist der Strommangel in einigen Gebieten bereits sp\u00fcrbar. In Irland verbrauchen Rechenzentren mittlerweile unglaubliche 201,6 Tonnen des nationalen Stromverbrauchs. Sechs US-Bundesstaaten widmen mehr als 101,6 Tonnen ihres Stroms Rechenzentren, wobei Virginia mit 251,6 Tonnen an der Spitze liegt.<\/span><\/p>\n

Kann saubere Energie mithalten?<\/b><\/h2>\n

Trotz der Bef\u00fcrchtung, dass der unstillbare Appetit der KI die Klimaziele effektiv sabotieren k\u00f6nnte, h\u00e4lt die IEA diese Bedenken f\u00fcr \u201c\u00fcbertrieben\u201d.\u201d\u00a0<\/span><\/p>\n

Nahezu die H\u00e4lfte des bis 2030 zus\u00e4tzlich f\u00fcr Rechenzentren ben\u00f6tigten Stroms sollte aus erneuerbaren Energien stammen, obwohl fossile Brennstoffe weiterhin eine f\u00fchrende Rolle spielen werden.<\/span><\/p>\n

Der Energiemix variiert stark je nach Region. In China werden heute fast 701.600 Tonnen Rechenzentrumskapazit\u00e4t mit Kohle betrieben. In den USA f\u00fchrt Erdgas mit 401.600 Tonnen, gefolgt von erneuerbaren Energien mit 241.600 Tonnen.<\/span><\/p>\n

\"IEA\"
Erneuerbare Energien werden einen wesentlichen Beitrag zur Entwicklung von KI leisten. Quelle: IEA.<\/figcaption><\/figure>\n

Mit Blick auf die Zukunft, kleine modulare Kernreaktoren (SMRs)<\/a> k\u00f6nnte nach 2030 f\u00fcr die Deckung des Energiebedarfs von KI unerl\u00e4sslich werden.<\/span><\/p>\n

Technologieunternehmen wie OpenAI planen bereits die Finanzierung von SMR-Kapazit\u00e4ten mit einer Leistung von \u00fcber 20 Gigawatt \u2013 ein Zeichen daf\u00fcr, dass sie sich Gedanken \u00fcber langfristige Energiesicherheit machen. Microsoft will sogar die SMR-Technologie wiederbeleben. stillgelegtes Kernkraftwerk Three Mile Island<\/a>.\u00a0<\/span><\/p>\n

Effizienz vs. Expansion<\/b><\/h2>\n

Die IEA spekuliert \u00fcber verschiedene m\u00f6gliche Zukunftsszenarien f\u00fcr den Energieverbrauch von KI. <\/span>In ihrem \u201cLift-Off\u201d-Szenario, das von einer weit verbreiteten und beschleunigten Einf\u00fchrung von KI ausgeht, k\u00f6nnte der weltweite Stromverbrauch von Rechenzentren bis 2035 1.700 TWh \u00fcbersteigen \u2013 fast 451 TWh mehr als in ihrer Basisprognose.<\/span><\/p>\n

\"IEA-Abflug\"
Das \u201cLift-Off\u201d-Szenario der IEA deutet auf einen massiven Energieverbrauch hin. Quelle: IEA.<\/figcaption><\/figure>\n

Alternativ dazu legt ihr Szenario \u201cHohe Effizienz\u201d nahe, dass Verbesserungen bei Software, Hardware und Infrastruktur den Strombedarf um mehr als 15 % senken k\u00f6nnten, w\u00e4hrend gleichzeitig die gleiche KI-Kapazit\u00e4t und -Leistung erzielt wird. <\/span>Sollte die KI jedoch auf Probleme oder Gegenwind sto\u00dfen, k\u00f6nnte der Energieverbrauch deutlich geringer ausfallen.\u00a0<\/span><\/p>\n

Die wichtigste Erkenntnis der IEA ist, dass das n\u00e4chste Jahrzehnt das sorgf\u00e4ltig austarierte Gleichgewicht zwischen Leistung und Energieeffizienz der KI auf die Probe stellen wird.<\/p>\n

Ob die Technologiebranche dieses R\u00e4tsel l\u00f6sen kann, hat m\u00f6glicherweise nicht nur Auswirkungen auf die Zukunft der KI, sondern auch auf ihre Rolle bei der Bew\u00e4ltigung der globalen Klimakrise, anstatt sie zu versch\u00e4rfen.<\/p>","protected":false},"excerpt":{"rendered":"

AI is already straining power grids around the world, but according to a new report, we\u2019re only just getting started.\u00a0 By 2030, AI data centers will devour almost as much electricity as the entire country of Japan consumes today, according to the latest forecasts from the International Energy Agency (IEA). Today’s data centers already consume approximately 1.5% of the world’s electricity \u2013 that’s roughly 415 terawatt hours every year. The IEA expects this to more than double to nearly 950 TWh by 2030, claiming almost 3% of global electricity. The specialized hardware running AI systems is the real consumer. Electricity<\/p>","protected":false},"author":2,"featured_media":15533,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[],"class_list":["post-14657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"\nPower-hungry AI will devour Japan-sized energy supply by 2030 | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/de\/2025\/04\/power-hungry-ai-will-devour-japan-sized-energy-supply-by-2030\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Power-hungry AI will devour Japan-sized energy supply by 2030 | DailyAI\" \/>\n<meta property=\"og:description\" content=\"AI is already straining power grids around the world, but according to a new report, we\u2019re only just getting started.\u00a0 By 2030, AI data centers will devour almost as much electricity as the entire country of Japan consumes today, according to the latest forecasts from the International Energy Agency (IEA). Today’s data centers already consume approximately 1.5% of the world’s electricity \u2013 that’s roughly 415 terawatt hours every year. The IEA expects this to more than double to nearly 950 TWh by 2030, claiming almost 3% of global electricity. The specialized hardware running AI systems is the real consumer. 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