CONCEPT
Theory of Constraints
Goldratt's foundational insight that every system's output is determined by its single most constrained resource — and that improving anything else is an illusion of progress.
The Theory of Constraints (TOC) is the management philosophy Eliyahu Goldratt developed in the late 1970s and refined across three decades of consulting, lecturing, and writing. At its core is a claim both obvious and radical: every system has exactly one binding constraint at any given time, and that constraint determines the throughput of the entire system. Strengthening any other link — any non-constraint resource — adds cost without adding capacity. The chain's strength is determined by its weakest link; reinforcing the other links produces heavier, more expensive chains with identical load-bearing capacity. Applied to the AI revolution, TOC reveals that the coordination bottleneck which governed software for fifty years has broken, and a new constraint has emerged where most organizations are not looking: the builder's judgment.
In The You On AI Field Guide
Goldratt arrived at the Theory of Constraints through an unusual path. Trained as a physicist at Bar-Ilan University, he brought to factory floors a discipline accustomed to asking what single variable determines