Ray Dalio’s latest warning is blunt: the companies building the AI revolution could see their stocks fall by as much as 80% even if they succeed in changing the world. That jarring assessment came during a July 2026 interview with My First Million, as detailed in the original report. Dalio’s message lands at a moment when crypto markets are running hot on AI narratives, and his metric for reckoning—a bubble gauge sitting at 75% of the extremes seen in 1929 and 2000—demands attention from risk-asset traders.
The billionaire investor explained that during bubble periods, even the most successful companies can lose about 80% of their market value. He described how the excitement around major new technologies fuels investment, but promising prospects alone do not guarantee good stock returns. High starting valuations and a wave of new competitors typically erode the upside. That dynamic, Dalio says, is already baked into AI-related equities, leaving them vulnerable to a sharp repricing.
The Trigger That Could Prick the Bubble
Dalio’s historical research suggests bubbles deflate when investors are forced to convert paper gains into cash. The usual catalysts are tightening monetary policy or new wealth taxes. In 1929 and 2000, rate hikes and regulatory moves played central roles. Today, central banks are still navigating inflation risks, and any unexpected shift toward restraint could rapidly change the liquidity backdrop that has propped up AI valuations.
His bubble gauge, built on six indicators including valuation, sentiment, and leverage, is flashing at 75% of the extremes that preceded the Great Depression and the dot-com bust. That level implies the market is not at peak froth yet but is in the danger zone where a violent correction becomes plausible. For crypto traders accustomed to boom-bust cycles, the parallels are hard to ignore.
Crypto Markets Face Similar Valuation Pressures
Digital asset markets have been riding a parallel wave of AI-themed hype. Earlier in May, Sui’s 18% jump to $1.24 was fueled by institutional staking demand and a major fintech integration, as covered in SUI Price Today: Sui Surges 18% to $1.24 as Institutional Staking and Paga Partnership Drive Demand. That kind of rapid repricing shows how easily liquidity-driven optimism can detach from underlying fundamentals, exactly the type of pattern Dalio warns about.
Institutional flows into tokenized real-world assets add another layer. The Weekly Tokenization Roundup documented RWAs crossing $20 billion on-chain, with Bullish acquiring Equiniti for $4.2 billion. While these milestones signal maturation, they also concentrate capital that could flee if macro conditions tighten. Dalio’s framework suggests that the cash-conversion trigger—when investors need liquidity—can hit even the most legitimate sectors.
Speculative mania isn’t confined to AI equities. Weekly Top Crypto Gainers data shows tokens like TON surging 83% and SIREN climbing 70%, leaving prices perched on thin air. Such vertical moves often resemble the late-stage bubble behavior Dalio describes, where the last buyers enter just before a steep selloff.
Dalio’s track record with bubble calls—he flagged the dot-com top and the 2008 housing bust—makes his current gauge reading difficult to dismiss. Still, the exact timing of any unwind remains unknowable. Crypto markets have weathered macro shocks before, and the institutional involvement seen in recent tokenization projects may create a different backstop this time. The risk, however, is the sheer volume of capital that has flowed into both AI stocks and AI-adjacent crypto projects under the twin assumptions of easy money and perpetual growth. If central banks are forced to tighten again, the unwind could be swift and indiscriminate, wiping out gains across multiple asset classes.
