Every generational bubble seems to wear the same disguise: a technology so obviously transformative that investors eventually stop asking what they’re paying to own a piece of it. The internet did it in the late 1990s. Now artificial intelligence is creating some of the same excitement, and Ray Dalio thinks investors should pay attention.
The billionaire founder of Bridgewater Associates recently told Steven Bartlett on The Diary of a CEO that today’s AI boom has characteristics of the bubbles that preceded the 1929 crash and the 2000 dot-com collapse. Dalio isn’t saying AI is a fad, and he isn’t predicting exactly when stocks will fall. His warning is simpler: a great technology can still become a terrible investment if investors pay too much for it.
For retirees and anyone approaching retirement, that distinction matters. A younger investor may have decades to recover from a major market decline. Someone already drawing from a portfolio may have far less room for error, particularly if falling stock prices force withdrawals at the wrong time.
The Difference Between Wealth and Money Matters
Dalio makes an important distinction between wealth and actual money. A startup might raise $50 million while investors value the entire company at $1 billion. Only $50 million changed hands, yet that transaction can create hundreds of millions of dollars of additional wealth on paper. The problem comes when owners suddenly need to turn those valuations into spendable cash. If enough people need cash simultaneously, selling can push prices lower and create even more selling. That is especially dangerous when investors borrow money to buy assets, because the debt does not disappear just because the asset falls in value. For retirees, the practical lesson is straightforward: money needed for near-term living expenses should not depend entirely on selling volatile investments during a downturn.
Stock Valuations Are Already Historically Expensive
One widely followed valuation measure supports at least part of Dalio’s concern. The Shiller CAPE ratio compares stock prices with 10 years of inflation-adjusted corporate earnings, helping smooth out temporary swings in profits. In early August 2026, the ratio stood around 42.1, an unusually high historical level and not far below its dot-com-era record. Dalio has separately said his own bubble indicators, which consider factors beyond CAPE, are moving closer to conditions seen around 1929 and 2000. None of this tells investors when stocks will fall. Expensive markets can remain expensive for years. But high starting valuations can make disappointment more painful, particularly for someone nearing retirement who cannot simply wait decades for a portfolio to recover.
AI Can Change the World and Still Be Overpriced
This is where Dalio’s argument becomes more useful than simply declaring that AI is a bubble. SpaceX completed a record-setting IPO in June 2026, ultimately raising about $85.7 billion after underwriters exercised their additional-share option. Meanwhile, Anthropic raised $65 billion in May at a $965 billion post-money valuation, and reports now suggest it could seek a valuation around $2 trillion if it goes public. Those numbers show how aggressively investors are valuing companies tied to the current technology boom. But Dalio’s larger point is that believing in AI and believing every AI-related investment is reasonably priced are two different things. The internet ultimately changed nearly everything, too. That did not stop investors who overpaid for dot-com stocks from suffering enormous losses.
What Long-Term Investors Can Take From This
Dalio is not calling for investors to dump stocks, and historical valuation measures are poor tools for predicting an exact market top. The more useful takeaway is to look at how much of your financial future depends on one expensive corner of the market continuing to rise. Investors approaching retirement may want enough liquid, lower-volatility assets to cover planned withdrawals without being forced to sell stocks after a steep decline, while keeping a diversified portfolio appropriate for their time horizon and risk tolerance. AI may ultimately justify enormous investment and create extraordinary businesses. The lesson of previous technology booms is not to avoid innovation. It is to remember that the price you pay still matters, especially when your portfolio is helping fund the next 20 or 30 years of your life.