Sarah Tribelhorn writes: “Although artificial intelligence (AI) offers immense potential to enhance services, library workers and others must consider its environmental impact. Training and operating AI tools like large language models, for instance, require substantial computational power. Data centers worldwide also use massive amounts of water to cool AI servers. A 2023 study from Cornell University estimates that by 2027, the water needed for AI could reach 1.7 trillion gallons—more than half of the water the UK uses in a year. Libraries and their decision makers should consider the following strategies when possible.”