Study Finds Non-English AI Prompts Draw Up to 179 Times More Power

Academic research from the University of Michigan indicates that querying models in languages other than English consumes substantially more electrical energy. Tokenization inefficiencies lead to higher processing overhead alongside reduced output accuracy.