WIRED's reporting on AI agents and power use is a useful reminder that autonomy has a physical cost. A single chatbot exchange is one thing; agents that plan, browse, code, call tools, retry tasks, and monitor outcomes can multiply compute demand quickly.
That matters because the most useful AI products may also be the most energy-intensive. When agents stay active across workflows, infrastructure demand shifts from occasional inference to continuous task execution, which changes the economics of deployment.
Product teams should treat energy and compute efficiency as design constraints, not back-office details. The winners will make agents useful without turning every workflow into an invisible data-center bill.
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