Last Thursday, Bridgewater Associates hedge fund founder and family office manager Ray Dalio published an analysis arguing that artificial intelligence alone is not enough to make effective investment decisions.
According to Dalio, AI must work in conjunction with logical and understandable standards developed by humans.
In his text, Dalio says that even with the most advanced AI, Lack of sufficient standards to follow without question. The investor points out that human understanding remains essential, especially in markets where value addition is a zero-sum game, and he argues that what everyone knows has little differential value.
Dalio suggests that the right approach is to develop what he calls “principled thinking.”: The process by which investors examine their decision-making criteria, codify it, document it, subject it to historical testing, and automate it to work in conjunction with human reasoning.
proposed model
According to Dalio, The ideal system would work like a computerized chess program– Makes decisions independently, but always has logic behind each visible and debatable move. The investor says this will allow humans and AI to correct each other and adjust their inferences.
The analysis specifies that these criteria should not be derived by data mining, i.e., identifying past patterns and assuming they will repeat, but should be derived from a logical understanding of the causal relationships governing the market. Dalio claims that this approach can handle more complex relationships. Faster and without emotional bias.
Bridgewater’s founders point out that they have been developing this process for 50 years, applying the latest AI technology. Dalio warns that those who are not at the forefront of this model of integrating humans and artificial intelligence will be at a competitive disadvantage.
For Dalio, the key is not to choose between human judgment and AI processing power, but to build a system where logic is always open and subject to review, and where both feed into each other.
AI in Prediction Markets: A Trend with Documented Risks
Dalio’s warning is in line with trends already observed in the crypto market. In February 2026, a user named Argona reported that an artificial intelligence agent converted $50 into nearly $3,000 in 48 hours of trading on Polymarket, a predictive market platform.
The bot scanned between 500 and 1,000 markets every 10 minutes and executed orders when it detected a price divergence of more than 8%.
However, the popularity of these systems It also attracted fraud. As reported by CriptoNoticias, criminals began distributing malware under the guise of a Polymarket bot installation tutorial with a command to download malicious code that could empty cryptocurrency wallets.
The attackers displayed verifiable on-chain balances to build trust, but the download links had no technical connection to the displayed accounts.
This pattern illustrates Dalio’s central argument. Automation without verifiable standards not only limits performance but also exposes users to risks that the autonomous system itself cannot foresee.
(Tag to translate) Artificial intelligence (AI)
