Data centers consume a lot of water, but it is probably less than we thought. It’s a book’s fault
We can criticize the AI boom for many reasons, but there is one that deeply affected society: the environmental impact, more specifically water consumption of each interaction with the AI, necessary to be able to cool the servers. The problem is realbut everything indicates that it has been magnified and the origin would be a miscalculation in a popular book. the book. It is ‘Empire of AI’ written by Karen Hao and which we already talked about in Xataka. After interviewing hundreds of former employees and people close to the company, the author constructs a detailed and highly critical account of OpenAI, more specifically its CEO Sam Altman. Among the criticisms of this ‘AI empire’, Hao mentions the excessive water consumption of AI, going so far as to state that a data center would consume 1,000 times more water than a city of 88,000 inhabitants. The criticism. Andy Masley tells it in his newsletter The Weird Turn Pro. According to their calculations, in reality 22% of what the city consumes or 3% of the entire municipal system. Furthermore, Masley states that the book confuses water extraction (temporary withdrawal that is returned to the network) with real consumption. The calculation error. The author herself has responded to the article de Masley citing the email he sent to the Municipal Drinking Water and Sewage Service of Chile (SMAPA), from whom he requested information on the total water consumption of Cerrillos and Maipu, the towns he used to make the consumption comparison. The problem is that Hao requested the amount in liters, but they responded without specifying the units and everything indicates that they were actually cubic meters, hence the large discrepancy. The author has consulted again with the SMAPA to clarify this information. It seems that, indeed, there is an error. Estimates. How much water AI consumes has been a recurring question in recent years. In September 2024, a study published by Washington Post He calculated that, to generate a 100-word text with ChatGPT, 519 milliliters of water were needed. The calculation was made taking into account the total annual consumption of data centers and the type of cooling used. It’s truly outrageous. What companies say. AI companies are not very transparent regarding the water and energy consumption of their data centers. The big technology companies give the total annual consumption data in their sustainability reports. We know that a large part of the consumption goes to data centers, but it is not possible to know the real consumption of each search. Google has been the only one that has published specific energy and water consumption data from its AI. According to the company, the water consumption for each Gemini consultation was 0.26 milliliters, or in other words, about five drops of water. We cannot extrapolate this data to all data centers or all companies, but it does seem that previous estimates are quite exaggerated. Water controversy. All of this doesn’t mean there isn’t a problem with water and AI. In fact, the Cerrillos data center where the alleged calculation error is It was never built because the Chilean justice system paralyzed it. due to the climatic impact it was going to have, especially in the context of drought in which the region found itself. Data centers need a lot of water, so much so that initiatives are emerging to cool them submerging them in the ocean. The other problem. Water is just one of the problems data centers face, energy demand poses an even greater challenge. In 2024, Data centers already accounted for 4% of total electricity consumption in the United States and in the surroundings of some of these beasts the electricity bill has risen 267% in recent years. Big tech is already warning: there is no power for so many chips and they are being raised since create nuclear power plants until take their data centers to space. Image | Google In Xataka | What is happening in the US is a warning for Spain: data centers driving up electricity bills in homes