(Podcast) AI's Secret Water Addiction: Data Centers Drinking Trillions of Liters by 2028

AI’s explosive growth now comes with a hidden environmental cost: a huge and rapidly rising water footprint. This video explains how AI data centers, power generation, and chip manufacturing together consume hundreds of billions of liters of water annually, projected to exceed 1 trillion liters by 2028—more than the entire bottled water industry and comparable to a mid-sized country’s yearly usage. It breaks down per-query water use, why many data centers sit in already water-stressed regions, and how weak governance and poor transparency magnify the crisis. The video also covers real solutions: renewable energy, AI-optimized cooling, water recycling, immersion cooling, edge computing, and smaller domain-specific models that can cut water use by up to 1000x when combined. Finally, it answers the big question—is this the end of AI, or the end of unconstrained AI?—by outlining what responsible, sustainable AI must look like in the 2025–2030 decade.

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