Ray Dalio, the founder of Bridgewater Associates, published his latest notes in June, clearly stating that technological progress itself does not automatically make the related stocks equally attractive. In history, every major new technology cycle has shown the same pattern: excitement, overcrowding, volatility, and clearing. He put forward his core quantitative thesis: holding 15 high-quality, non-correlated investments can improve the risk-reward ratio from 0.3 to 1.29.
Ray Dalio breaks down the current market’s features
In his notes, Dalio said the key features of the current market are: driven by AI technology, only a tiny number of companies dominate the market’s direction, and these companies make up a very large share of total market capitalization. He said investors face three choices—overweighting AI companies, maintaining index weights, or actively diversifying—and believes that the higher the market concentration, the more necessary diversification becomes.
He also pointed out that in every past major new technology cycle, it was difficult at the beginning to tell which companies would ultimately succeed (IBM is one example he named). Even companies that won in the long run have, at times during the cycle, caused investors to suffer severe setbacks. Dalio said: “This time, AI technology is indeed unique, but in history there have also been many other ‘unique’ new technologies.”
Main AI stock risk factors listed by Dalio
In his notes, Dalio confirmed that the following risk factors deserve attention:
The dilemma of over-investing or under-investing: AI companies must pour in a lot to stay competitive, but cannot precisely predict what constitutes the right amount
Geopolitical risk: Taiwan’s chip supply could become a tool in geopolitical conflicts; China is distributing AI technology for free or at low cost (as it has done with strategies in the automotive, solar panel, and battery sectors)
Quantum computing disruption risk: Dalio named it as one of the “known knowns”
Rising wealth taxes and other taxes: could force investors holding large concentrated AI stock positions to sell
Rising anti-AI sentiment: could limit companies’ ability to push forward with technology
The quantitative logic for diversification and Dalio’s “investment Holy Grail”
In his notes, Dalio provided the specific quantitative reasoning behind his diversification argument. Using a baseline single investment with a 6% return and an 18% standard deviation (risk-reward ratio 0.3), if you hold 5, 10, or 15 equally high-quality, non-correlated investments, the standard deviation would drop to 8%, 6%, and 5% respectively, while maintaining the same 6% return. When holding 15 investments, the risk-reward ratio increases from 0.3 to 1.29—an improvement of 4.3 times. Dalio said: “This is a fact,” and described it as a method he has validated over more than 50 years in investing.
He defined this structure as his “investment Holy Grail”: holding 15 high-quality, non-correlated, risk-balanced investments, then engineering the mix adjustments according to the volatility he can accept. Dalio also added that he does not recommend avoiding investing—because cash over the long term is almost certainly the worst asset—and what he recommends is holding “a balanced strategic asset allocation portfolio when there is not enough confidence to form tactical viewpoints.”
FAQ
Does Ray Dalio recommend not investing in AI stocks at all?
Based on Dalio’s explicit statements in his notes, he is not recommending avoiding AI stocks entirely. Instead, he advises against making a concentrated, high-risk bet driven by excitement about a new technology. His core argument is that through good diversification, you can achieve returns that are not worse than a concentrated bet—even at equal or lower risk.
How certain are Dalio’s estimates for stock returns of -5% to -10%?
Dalio explicitly explained in his notes that this figure comes from his valuation analysis work and readings of bubble indicators. At the same time, he noted that “these numbers have substantial uncertainty,” and framed the estimate using wording like “in my view,” rather than presenting it as a certainty.
What does Dalio mean by “mathematical certainty” that diversification beats concentrated bets?
Based on Dalio’s explanation in his notes, he means that, given investments of the same quality, a diversified portfolio must, mathematically, have a better risk-reward ratio than a single concentrated bet. His quantitative derivation shows that 15 uncorrelated investments can reduce risk to about one-third of that of a concentrated bet while maintaining the same level of return. He emphasized that this is probability logic rather than a personal viewpoint.
