AI 에이전트, 단순 채팅의 600배 에너지 소모
기후 과학자 Zeke Hausfather는 Claude Code를 8주간 사용하는 동안 170kWh를 소모했다고 밝혔는데, 이는 표준 채팅 프롬프트의 약 600배에 해당하며 자율 AI 시스템의 숨겨진 환경 비용을 드러냅니다.
climate scientist zeke hausfather logged eight weeks of intensive use with claude code, tracking 1,138 inputs that generated over 14,000 model calls and processed 3.2 billion tokens. the total electricity consumption reached an estimated 170 kwh, averaging 150 watt-hours per prompt—a massive increase over the 0.24 to 0.34 wh figures often cited by google and openai for basic text queries. this disparity stems from agent architectures that repeatedly read cached context and generate millions of tokens per task, creating a usage pattern that more closely resembles running a clothes dryer than a quick search. as labs move toward autonomous agents running for days or weeks, this exponential rise in energy demand positions data center power supply and carbon emissions as major bottlenecks for ai deployment.