According to TechFlow, on June 14, Bridgewater Associates founder Ray Dalio published a long-form essay outlining his thinking on investment decision-making in the age of AI. His discussion focused on how artificial intelligence should be used in financial markets, while stressing that human insight still has irreplaceable value even as new generations of AI technology become more capable.
The value of information in investment competition
Dalio described investing as a competitive environment where the added value is close to zero-sum. In his view, once a piece of information becomes widely known, its investment value often declines quickly. Under that framework, even the most advanced AI systems are not enough for investors to rely on completely or follow blindly. The source of real competitive advantage, he argued, remains distinctive human understanding and deep insight into markets, causal relationships and the way the real world operates.
Drawing on Bridgewater’s development over the past 50 years, Dalio said decisions should be built on a system of principles that is logically clear, understandable and verifiable. Principles-based thinking, as he defined it, is not about relying on intuition or experience alone. It involves systematizing decision standards: analyzing situations and causal relationships, recording core principles, using historical data for verification as much as possible, and ultimately turning those principles into a decision system that can be calculated and executed automatically.
A cooperative game between humans and AI
Dalio also noted that principles cannot be formed simply through data mining or by asking AI for answers directly. Instead, they must be based on logical reasoning and an understanding of how the real world functions. He described this process as a “cooperative game” between humans and AI. In this model, AI provides systematic suggestions according to established principles, while humans think independently through their own principle frameworks. The two sides then compare results, discuss differences and verify the logic in order to keep improving the decision-making system.
For Dalio, genuinely valuable principles should be able to cross time and geography, and should stand up to examination across different historical cycles and market environments. If a principle stops working, the causal relationship behind it must be studied again and revised continuously. He said he has already applied this method within his family office to make full use of a new generation of AI technology, and he plans to continue sharing the related methodology with the outside world. He also reminded market participants that, as AI technology continues to develop, the ability to effectively combine artificial intelligence with principles-based thinking will become an important dividing line for future competitiveness.