Ray Dalio, founder of Bridgewater Associates, said investors should not blindly rely on even the most advanced AI systems because widely known information quickly loses investment value in markets that are close to zero-sum.
According to ChainCatcher, Dalio argued that durable competitive advantage still comes from unique human understanding and deep insight, rather than from following AI outputs.
Drawing on Bridgewater’s 50 years of experience, Dalio said investment decisions should be built on a clear, understandable, and verifiable system of principles. He described “principled thinking” as systematizing decision standards by analyzing situations and cause-and-effect relationships, documenting core principles, validating them with historical data where possible, and then converting them into computable, automated decision systems.
Dalio added that forming sound principles cannot rely solely on data mining or simply asking AI questions, but requires logical reasoning and an understanding of how the real world works.
He characterized the process as a cooperative dynamic between humans and AI: AI provides structured recommendations based on established principles, while humans independently evaluate them within their own framework, comparing and testing logic to refine the decision system.
Dalio said valuable principles should hold across time and regions and be tested through different historical cycles and market environments. If a principle fails, he said investors should re-examine the underlying causal relationships and revise it.
Dalio said he has applied this approach in his family office to better use new-generation AI and plans to continue sharing the methodology. He also said the ability to combine AI with principled thinking may become a key divider of future competitiveness in markets.