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AI Product Building Future of AI Architecture

The gains come from redesigning work around AI, not bolting AI onto human workflows

Like factory owners who first swapped waterwheels for steam engines and changed nothing else (modest gains), today's orgs bolt chatbots onto human-designed workflows — the explosion comes only when the work is redesigned around agents

@ivanhzhao (Ivan Zhao, Notion CEO) — Steam, Steel, and Infinite Minds · · 6 connections

Ivan Zhao’s sharpest historical lesson is about the steam engine. Early textile factories ran on waterwheels; when the steam engine arrived, “factory owners initially swapped waterwheels for steam engines and kept everything else the same. Productivity gains were modest.” The breakthrough came only when they “decouple[d] from water entirely” and “redesigned their factories around steam engines” — then “productivity exploded.” His diagnosis of the present: “We’re still in the ‘swap out the waterwheel’ phase. AI chatbots bolted onto existing tools.”

The actionable test is whether you’re redesigning the work or decorating it: a chatbot pointed at an unchanged workflow is a waterwheel swap. This is the organizational twin of Scaffolding is tech debt against the next model — the bitter lesson applied to product building — both warn against preserving the old structure when the new material’s whole value is that it dissolves the old constraint. It is what When production constraints dissolve, the bottleneck shifts from execution to judgment looks like operationally (when execution is free, the leverage is in re-imagining the process), and it is the same proactive move as Self-disruption follows the value chain downward — software companies must eat their own agent layer before someone else does — redesign before the old shape is competed away. Mistaking the transition form for the final form is exactly New technology first imitates the medium it replaces — the transition form hides the final form.