Sarah Hooker: AI agents are the second major driver reshaping compute workloads
sarahookr · x · 2026-09-02
Sarah Hooker argues AI agents are the second major driver of compute demand. Historically, training and inference were predictable, continuous matrix multiplications—like a factory with one oven and one recipe, where only data delivery speed mattered. Unlike training, test-time compute doesn't need tight co-location: parallel agent calls tolerate individual failures, letting developers distribute workloads across hardware of different sizes and locations without penalty—reshaping how inference infrastructure gets built.
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