AIエージェントはシンプルなチャットの600倍のエネルギーを消費
気候科学者のZeke Hausfather氏によると、Claude Codeを8週間使用しただけで170 kWhを消費。これは標準的なチャットプロンプトの約600倍のエネルギーに相当し、自律型AIシステムの隠れた環境コストが明らかになりました。
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.