Ray Dalio on Decision-Making in the AI Era: Principles and AI Must Coexist

ME AI message, on June 14, Ray Dalio, founder of Bridgewater Associates, published a lengthy article systematically outlining his principle-based decision-making methodology for the age of artificial intelligence. Dalio noted that the investment field is a "zero-sum game" where information widely known has low value; thus, even the most advanced AI insights are insufficient to justify blind following—unique human understanding and insight remain irreplaceable. Bridgewater’s core experience over the past 50 years shows that decisions must be based on logical, understandable criteria, combining principle-based thinking with AI. Principle-based thinking is not about intuition, but about examining and systematizing decision criteria—deeply analyzing contexts and causal relationships, writing down standards, backtesting historical performance as thoroughly as possible, and then computerizing and automating them. These standards must not be derived through data mining or simple queries to AI, but rather through logical understanding transformed into a decision system. Dalio describes this process as a "game of chess" between humans and AI: the AI partner makes "moves" based on systematized standards, while humans make "moves" based on principles in their minds; both sides compare logic, engage in dialogue and debate, and ultimately align their thinking and reasoning. The principles pursued must be timeless and geographically universal, tracing back as far as possible in history and tested across diverse countries and environments to validate their applicability; if they fail, the underlying causal relationships must be rigorously studied and revised. The entire system always outputs its reasoning process, ensuring clarity and logical transparency, processing complex relationships faster and without emotional bias than the human brain. Dalio says he is applying this process within his family office to fully leverage emerging AI technologies and plans to continue sharing this methodology publicly. He also warns the market: either keep pace with this frontier, or risk losing competitiveness. (Source: MLion)