Dalio discusses decision-making in the AI era: principled thinking should run alongside AI, and human insights remain irreplaceable

Deep Tide TechFlow News, June 14 — Bridgewater Associates founder Ray Dalio recently published a lengthy article sharing his thoughts on the investment decision-making system in the AI era, emphasizing that human insights still hold an irreplaceable value in financial markets.

Dalio believes that investing is essentially a "value-added near-zero-sum" competitive environment. When certain information has become widely recognized, its investment value tends to decline rapidly. Therefore, even the most advanced AI systems are not enough to allow investors to rely entirely on or blindly follow, as the true competitive advantage still lies in unique human understanding and deep insights.

Drawing on Bridgewater’s 50 years of development experience, Dalio proposes that decision-making should be based on a clear, understandable, and verifiable set of principles. He states that what he calls principled thinking does not rely on intuition or experience-based judgment, but rather systematizes decision criteria, analyzes scenarios and causal relationships, records core principles, and uses historical data for validation as much as possible, ultimately transforming them into computable and automatically executable decision systems.

He also points out that the formation of principles cannot rely solely on data mining or direct questioning AI, but must be based on logical deduction and an understanding of the laws governing the real world.

Dalio describes this process as a “collaborative game” between humans and AI. In this model, AI provides systematized advice based on established principles, while humans think independently within their own principle frameworks. Both sides compare, discuss, and verify logic to continuously optimize the decision-making system.

He believes that truly valuable principles should be able to withstand tests across time and geography, enduring different historical cycles and market environments. If a principle fails, it needs to be re-examined for its underlying causal relationships and continuously revised.

Dalio states that this approach has already been applied in his family office to fully leverage the new generation of AI technology, and he plans to continue sharing related methodologies with the outside world. He also reminds market participants that as AI technology continues to develop, the ability to effectively combine artificial intelligence with principled thinking may become a crucial dividing line for future competitiveness.