The One Best Way

In The You On AI Field Guide

Taylor was not a philosopher. He was an engineer with a stopwatch, concerned with specific problems — how to shovel pig iron, how to cut metal, how to lay bricks. His ambitions were modest: reduce waste, increase output per worker, rationalize the relationship between effort and result. He could not have imagined that his principle would metastasize beyond the factory to colonize every domain of modern life. But the logic he articulated did not require his ambitions to spread. It spread because it worked. The results were measurable. And once the conviction took hold that an optimal method exists for any activity, choosing a suboptimal one felt not merely inefficient but morally deficient.

The progression from Taylor's shop floor to the contemporary AI-assisted workspace is not metaphorical. It is a direct line of institutional development. Scientific management rationalized the factory. The rationalized factory demanded rationalized information processing — filing systems, tabulating machines, computers, networks. Each stage identified a more efficient method than its predecessor. Each stage made the predecessor irrational to maintain. Each stage absorbed the domain into technique's expanding jurisdiction. And at no point did any individual or institution deliberately choose this trajectory. The trajectory was driven by the logic itself: each level of efficiency creating the conditions and the demand for the next.

Edo Segal traces the same progression in You On AI — from assembly language to compilers to frameworks to cloud infrastructure to AI — and celebrates the liberation each abstraction provided. Ellul's framework accepts the accuracy of Segal's historical account while inverting its evaluation. What appears as liberation from lower-level tedium is, structurally, the elimination of the cognitive environment in which the corresponding understanding once developed. The assembly programmer thought in memory addresses; the framework programmer cannot. The gain is real. The loss is also real. Technique's logic makes only the gain visible, because only the gain is measurable.

For the AI moment, the one best way principle operates with unprecedented speed and universality. Previous extensions of scientific management took decades or generations to colonize new domains. The AI extension compresses the timeline to months. A domain that resisted systematization in 2022 — creative writing, strategic judgment, the formation of ideas — is systematizable in 2025. The logic has not changed. The pace has.

Origin

Taylor's Principles of Scientific Management appeared in 1911, summarizing two decades of his consulting work at Bethlehem Steel and other industrial sites. The book became a global bestseller, translated into languages Taylor did not speak and applied to domains Taylor had never studied. Lenin cited it approvingly. Henry Ford operationalized it at River Rouge. Business schools built curricula around it. Within a generation, the one best way had become the unchallenged premise of modern management, so deeply absorbed that its status as a historical innovation became invisible.

Key Ideas

The principle's power is moral, not merely technical. Once you believe an optimal method exists, choosing a suboptimal one is not just inefficient — it feels like a failure of reason, and rational failure carries stigma that technical failure does not.

Alternatives are eliminated, not merely disfavored. The mechanism is competitive: the actor adopting the optimal method outperforms the actor who does not, and the outperformance compounds until the alternative is eliminated by irrelevance.

The principle universalizes. Taylor applied it to shovels. His successors applied it to offices, schools, hospitals, legal practice, creative work. AI applies it to cognition itself — to the formation of ideas that was once protected by its own immeasurability.

Expertise in the old method becomes obstruction. The skilled practitioner of a superseded technique does not become irrelevant through any fault of her own. Her expertise is simply reclassified as waste by the logic that has identified a more efficient alternative.

Each elimination creates cognitive foreclosure. When assembly language was superseded, assembly-era ways of thinking became unavailable to most practitioners. The same foreclosure operates at every subsequent level, and AI operates at the most comprehensive level yet achieved.