{"id":33096,"date":"2026-06-11T06:04:14","date_gmt":"2026-06-11T11:04:14","guid":{"rendered":"https:\/\/www.ecoticias.com\/en\/?p=33096"},"modified":"2026-06-11T06:04:15","modified_gmt":"2026-06-11T11:04:15","slug":"a-100-word-email-written-with-chatgpt-may-use-about-17-6-fluid-ounces-of-water-roughly-the-size-of-a-stan","status":"publish","type":"post","link":"https:\/\/www.ecoticias.com\/en\/a-100-word-email-written-with-chatgpt-may-use-about-17-6-fluid-ounces-of-water-roughly-the-size-of-a-stan\/33096\/","title":{"rendered":"A 100-word email written with ChatGPT may use about 17.6 fluid ounces of water, roughly the size of a stan"},"content":{"rendered":"\n

A 100-word email written with ChatGPT may use about 17.6 fluid ounces of water<\/strong>, roughly the size of a standard bottle, once researchers count both server cooling and the water used to generate electricity. That estimate is not a meter reading attached to every prompt, but it gives everyday users a way to picture a hidden cost that usually stays out of sight.<\/p>\n\n\n\n

The bigger concern is not one email. It is billions of AI requests<\/a> layered across search tools, office software, customer service bots, image generators, and apps we now use without thinking twice. Researchers Pengfei Li, Jianyi Yang, Mohammad A. Islam, and Shaolei Ren<\/a> estimate that global AI demand could require 1.1 trillion to 1.7 trillion gallons of water withdrawal per year by 2027<\/strong>, close to half the United Kingdom\u2019s annual water withdrawal. Small bottle. Big pipe.<\/p>\n\n\n\n

Why AI gets thirsty<\/h2>\n\n\n\n

Data centers generate heat<\/a>, and AI servers can run especially hot. To keep them working, many facilities rely on cooling systems that use water<\/a> because water can move heat efficiently, much like sweat cools the body on a sticky summer day.<\/p>\n\n\n\n

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