タグ: environmental impact

A single text prompt to Google Gemini uses about 0.24 watt-hours of electricity and roughly 0.26 millilitres of water, around five drops. A comparable ChatGPT query sits near 0.34 watt-hours, meaning Gemini uses roughly 29% less energy per prompt. Those numbers sound tiny, but multiply them by billions of prompts a day and the footprint of everyday AI use becomes very real. So which AI is the most eco-friendly, and is switching to a dedicated “green” AI tool actually worth it? This guide ranks the mainstream models by energy and water use, breaks down the dedicated eco-friendly AI tools worth knowing, and shows you the single most effective thing you […]

Yes, AI is bad for the environment, and the numbers are no longer up for debate. Global data-center electricity use is set to jump from 415 TWh in 2024 to roughly 945 TWh by 2030 per the International Energy Agency, mostly because of AI. Cornell researchers project AI servers alone will emit 24 to 44 million metric tons of CO₂ and consume 731 to 1,125 million cubic meters of water per year by 2030. That is equivalent to adding 5 to 10 million cars to U.S. roads and matching the household water use of 6 to 10 million Americans. That is the bad news, and it is real. The longer […]

How much water does ChatGPT use? OpenAI’s own figure, stated by CEO Sam Altman, is about 0.000085 gallons per query, roughly 0.32 mL or one fifteenth of a teaspoon, alongside 0.34 watt-hours of electricity. Independent estimates that count only data-center cooling land a little higher, around 1.5 to 4 mL per prompt. The scary viral number, about 519 mL (a full bottle) to write a 100-word email with GPT-4, is not a contradiction. It counts the entire electricity and training supply chain, which is why credible figures span more than 150x. This guide gives you a dated, sourced answer for every version of the question, so per query, per prompt, […]