A new peer-reviewed study reveals that in 2025 alone, AI systems consumed between 312 and 765 billion liters of water — roughly the same as the entire global bottled water industry. Most of this water is used for cooling data centers that power large models like ChatGPT, where intense computation generates extreme heat and requires evaporative cooling to stay operational. The same research estimates AI’s carbon footprint at 32 to 80 million tonnes of CO₂, comparable to New York City’s annual emissions from energy and transportation. As AI adoption accelerates, experts warn that without renewable energy, efficient cooling, and greener infrastructure, this environmental strain will only grow. AI may help fight climate change — but without limits, it could also become part of the problem. Can AI scale sustainably, or are we ignoring the real cost? 👇💬 ai energy use | data centers | climate impact | water consumption | carbon emissions Follow futurewalt.ai for more ai updates 🚀 #...