Gold, Bitcoin, or AI: Where Cathie Wood sees bubble risk

Gold, Bitcoin, or AI: Where Cathie Wood sees bubble risk
Cathie Wood’s warning about bubble risk

​The sharp surge in gold prices, followed by a steep sell-off, prompted a high-profile statement from Cathie Wood. The CEO of Ark Invest and well-known investor argues that signs of a market bubble today should be sought not in artificial intelligence or digital assets, but in precious metals.

Why gold looks overheated

In her statements, Cathie Wood relies on macro indicators, particularly the ratio of gold’s market capitalization to the U.S. money supply. During the most recent price surge, this metric reached an all-time high, surpassing levels seen in the early 1980s. In her commentary, Wood emphasizes that such parabolic moves are typically characteristic of the final stage of a cycle, when prices become increasingly driven by expectations rather than fundamental conditions.

At the same time, she highlights the differences between the current macro environment and historical periods often used for comparison. In her view, the U.S. economy today is neither experiencing the double-digit inflation typical of the 1970s nor operating under deflationary crisis conditions. In the absence of extreme interest rates and amid the potential strengthening of the dollar, gold, she argues, remains vulnerable to a deeper correction similar to the one that followed the 1980 peak.

At the same time, gold’s current dynamics are complicated by structural demand from central banks. Regulators continue to increase their gold reserves, viewing the metal as a tool for diversification and reducing currency risk. This demand is not driven by short-term price fluctuations and provides additional support for the market. The combination of signs of price overheating with long-term institutional demand makes the discussion of a “gold bubble” far less clear-cut.

Bitcoin: Scarcity as a privilege

In Wood’s view, Bitcoin is a far more attractive scarcity asset than gold. Its supply is strictly capped, and the issuance schedule is mathematically predefined. This, she argues, makes Bitcoin less vulnerable to supply expansion, unlike gold, whose production depends on prices, technology, and investment in mining.

However, a fixed supply alone does not answer the key question of price stability. Bitcoin does not generate cash flows, does not function as a medium of exchange at the scale of the broader economy, and lacks a long history of behavior across extended crisis cycles. Its value is driven by expectations of future demand rather than current usage. As a result, during periods of growth, it behaves more like an asset of belief than a defensive instrument.

This contradiction becomes especially visible during periods of market stress. When liquidity tightens and demand for safety increases, Bitcoin typically falls alongside risk assets rather than serving as a haven. In such conditions, its price depends not on scarcity but on investors’ willingness to hold a volatile asset without an internal anchor.

In this sense, Bitcoin’s potential “bubble” lies not in price levels but in the narrative that equates limited supply with guaranteed value. Scarcity can amplify demand, but it cannot replace fundamentals. This is precisely where Bitcoin proves far more vulnerable to shifts in sentiment than gold, which is typically bought for preservation rather than growth.

The AI bubble

While calling gold overheated, Cathie Wood simultaneously rejects another popular narrative—that a new bubble is forming in artificial intelligence. Comparisons between the AI boom and the dot-com bubble are becoming increasingly common, but unlike internet companies of the late 1990s, AI is already embedded in business processes and delivers measurable economic value. Cloud services, enterprise solutions, automation, and analytics are generating real demand that goes beyond promises of the future.

The risk in this story emerges at a different level. Companies are spending billions on infrastructure, building forecasts around rapid payback and high margins. If actual monetization progresses more slowly than expected, a correction will be inevitable.

This is where the line between a bubble and excessive optimism is drawn. Artificial intelligence does not sell scarcity or appeal to fear. It sells productivity, and the question is who—and how—will be able to convert that productivity into profit. For investors, this becomes a choice between business models and time horizons for returns.

As a result, even if some companies are overvalued, that does not make the entire sector a bubble.

Which bubble will burst?

Ultimately, discussions about market bubbles are less about prices and more about the relationship between sentiment and fundamentals. Cathie Wood’s forecast on gold proved timely. After reaching an intraday record high of $5,600 per ounce, gold prices fell 21% over three days, dropping to $4,400. Gold has since partially recovered and is trading around $4,800 per ounce, underscoring the sharp rise in market volatility.

Today, gold sits between heightened volatility and sustained interest from central banks, complicating its classification as a classic bubble. Bitcoin, by contrast, remains heavily dependent on belief in scarcity and future adoption, making it particularly sensitive to changes in sentiment. Artificial intelligence occupies a separate position: it is already generating economic value, yet it remains vulnerable to revisions of inflated expectations.

The key question today is not which asset will “burst,” but which expectations are capable of withstanding a collision with reality.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.
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