AI's growing use in everyday technology is significantly increasing energy consumption and contributing to climate change. Data centers powering AI rely heavily on fossil fuels, consuming vast amounts of energy and water. While tech companies strive for efficiency, the Jevons Paradox suggests increased efficiency leads to increased usage. The environmental impact varies greatly depending on the AI task's complexity and the data center's energy source. Experts suggest limiting AI use, opting for concise queries, and using eco-friendly search engines to lessen the impact. Reducing overall digital activity also helps mitigate the climate cost of technology.

Prepared by Olivia Bennett and reviewed by editorial team.