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AI agents can use up to 136.5 times more energy than conventional AI, KAIST study finds

KAIST said a research team led by Yoo Min-soo (유민수) systematically analysed, for the first time, the compute resources and power consumption used by AI agents in real service environments. The team defined AI agents as a new form of workload that data centre servers and GPUs must process continuously. It found AI agents repeatedly call large language models, increasing computation and response time. A 70 billion-parameter agent consumed 348.41Wh per query, 136.5 times more than simple generative AI Q&A.