An Olympic Swimmer Spent Years Perfecting the One Thing She Was Already Elite At
Sheila Taormina had one of the best aerobic engines her coaches had ever seen — and she kept improving it, year after year, while missing what actually held her back. Then she learned Eliyahu Goldratt’s Theory of Constraints: every system is limited by its single slowest step, and improving anything else is wasted effort. She found her real constraint, trained it, and became the first woman to reach the Olympics in three different sports. Here is why most AI transformations are optimizing the wrong part of the system.
