@techtalkwithsolomon: ስለ ኤአይ አስገራሚ የውሃ ፍጆታ ሰምተው ያውቃሉ? Have you heard about the shocking water consumption of AI? #AI #techtalkwithsolomon #solomonkassa
Solomon, AI does use a lot of water but in no way and form does it make the water toxic. It evaporates and rains down
2026-09-02 09:13:19
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Prince Alemayehu :
AI itself doesn’t consume water. The data centers and power infrastructure that run AI can have a water footprint, mainly for cooling servers and, in some cases, electricity generation. The amount varies widely depending on the cooling technology, climate, and energy source.
if they use all this water.. if they use all this energy.. why is it provided for us to use for free?
2026-09-01 08:42:48
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Eyoba :
ለዛም እኮነው ትራንፕ ግሪን ላንድን የአሜሪካ ግዛት እናረጋለን ያለው
2026-09-02 12:47:19
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life is chance but strive. :
የስው ጠላት ነው
2026-09-01 03:43:16
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user6117261458680 :
ጥያቄዬ ባህሮች እየደረቁ ነው ይህ ከAI ጋር ያለውን ግንኙነት ብታስረዳ
2026-09-01 03:08:08
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365 day 365 ways property :
AI itself doesn’t “drink” water. The water is mainly used by the data centers running AI:
💧 Cooling: Powerful GPUs generate enormous heat, and some cooling systems evaporate water to remove it.
⚡ Electricity: Power plants that generate electricity for data centers can also consume significant amounts of water.
🧪 Chip manufacturing: Semiconductor production requires substantial amounts of water.
The scale can be enormous. One 2026 review estimates that AI's global water footprint could reach 4.2–6.6 billion cubic meters annually by 2027, although there is considerable uncertainty because water use varies dramatically by cooling technology, location, electricity source, and how researchers define “water consumption.”
But here's the important nuance: there isn't one fixed amount of water per AI question. Google's own recent measurement, for example, estimates a median Gemini text prompt at about 0.26 mL of water under its methodology, while other studies produce much higher figures because they include different indirect water uses. So the bigger issue isn't “One question wastes a bottle of water.” It's:
> Billions of AI requests + enormous AI data centers + water-intensive cooling + water-stressed locations = a potentially serious local and global resource problem. And AI demand is still growing rapidly: the IEA reports that electricity consumption by AI-focused data centers is expected to triple by 2030. This is actually a powerful business/investment topic: the future of AI isn't only about chips and electricity — water infrastructure, cooling technology, data-center location, and water-efficient engineering could become major industries.