Thanks for the mention Ivan Verkalets, and for recognizing how Eugenie leverages AI for combatting industrial-led climate change.
Guess what requires more energy — charging your phone or generating an image with #AI? Spoiler: It’s the same! By 2026, AI will consume twice as much energy as in 2022. It’s been doubling every 3.4 months since 2012! Training AI models produce more #emissions than aviation, adding 3.7% to the #greenhouseeffect. European AI data centers’ energy consumption will grow up to 28% by 2030. Microsoft's AI is helping ExxonMobil optimize its mining, boosting fossil fuel extraction and emissions. With a carbon footprint this big, AI usage raises serious concerns about #sustainability. But AI is also used to combat climate change: - AI is trained to predict icebergs melting 10,000 times faster than humans. - Eugenie.ai helps businesses track and reduce carbon emissions by 20-30%. - Experts use AI to modify rainfalls and predict wind turbine efficiency, making renewable energy sources 20% more efficient. - Climate TRACE spots emissions from global pollution, and IBM’s xView2 program analyzes satellite images to save more people from natural disasters. Ok, AI eliminates some of the damage it’s been causing. But the question is open – is it worth the fuel (literally)? Doesn’t it seem like a small patch on the growing abyss? Source: study by Hugging Face and Carnegie Mellon University. #AI #climateimpact #climatechange #artificiaiIntelligenc #energyconsumption