Most AI discussions focus on speed and automation, but a deeper question is scale. In this episode, NLW reads and analyzes essays by Ivan Zhao and Aaron Levie that argue AI agents change the limits of knowledge work itself—allowing organizations to operate beyond human rhythms, meetings, and bottlenecks. The conversation explores why this transition feels uncomfortable, why copying human workflows is a dead end, and what comes after.

Ivan essay: https://x.com/ivanhzhao/status/2003192654545539400

Aaron essay: https://x.com/levie/status/2004654686629163154

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