Researchers from the Korea Advanced Institute of Science and Technology KAIST have published what they describe as the first comprehensive analysis of the energy cost of AI agents – AI systems capable of reasoning, planning, and completing tasks autonomously. Their findings show that these systems can consume up to 136.5 times as much energy per query as conventional generative AI models, raising fresh questions about whether the infrastructure supporting tomorrow’s AI is ready for...