BlockBeats News, June 14th: Founder of Bridgewater Associates Ray Dalio published a lengthy article articulating his principled decision-making methodology in the age of artificial intelligence. Dalio pointed out that the investment field is a "zero-sum game of added value," where widely known information has little value. Therefore, even the most advanced AI's insights are not enough to blindly follow, as unique human understanding and insight remain irreplaceable. Over 50 years, Bridgewater's core experience has shown that decisions must be based on logical, understandable criteria, combining principled thinking with AI. Principled thinking is not based on gut feelings but on examining and systematizing decision criteria—deeply thinking about the context and causality, writing down the criteria, backtesting historical performance as much as possible, then computerizing and automating it. The derivation of criteria cannot rely on data mining or simple AI queries but should be based on logical understanding transformed into a decision system.
Dalio describes this process as a "game" between humans and AI: the AI partner makes "moves" based on systematized criteria, while humans make "moves" based on principles in their minds. Both sides compare logic, engage in dialogue and debate, and ultimately align thinking with decision rationales. The pursued principles must span time and geography, tracing back to ancient history, testing in various countries and environments to validate their universality; if they fail, deep research is conducted to correct causality. The entire system output always includes the reasoning process to ensure clear and understandable logic, handling complex relationships faster and more unemotionally than the human brain. Dalio stated that he is currently applying this process in the family office to fully leverage emerging AI technology and plans to continue disseminating the methodology to the outside world. Dalio also warned the market that either they keep up with this frontier or risk losing competitiveness.
