The institutional advantage in AI trading is rarely a mysterious model. More often, it is the discipline surrounding the model. Institutional teams design for uncomfortable realities: forecasts miss, market data degrades, infrastructure breaks, and markets produce regimes absent from the development

Early in 2012, a portfolio in JPMorgan Chase’s Chief Investment Office was running over its risk limits. Then a new value-at-risk model was introduced, and the problem appeared to disappear. The new model roughly halved the portfolio’s reported risk. Within months, the trades later kn