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Why Howard Marks Isn’t Convinced AI Stocks Are in a Bubble
Howard Marks argues that a 5.5% weekly Nasdaq 100 decline does not by itself prove an AI bubble: investors are openly debating risk, rather than acting as if it has disappeared. Ray Dalio focuses on debt and rising rates as possible pressure points; Michael Novogratz calls AI a bubble but says the rally may not be o...
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- Howard Marks argues that a 5.5% weekly Nasdaq 100 decline does not by itself prove an AI bubble: investors are openly debating risk, rather than acting as if it has disappeared.
- Ray Dalio focuses on debt and rising rates as possible pressure points; Michael Novogratz calls AI a bubble but says the rally may not be over.
- The market’s test is whether AI infrastructure spending can generate enough revenue and cash flow to justify its cost—especially for companies borrowing to expand.
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openai.comCreate a landscape editorial hero image for this Studio Global article: Why does Oaktree Capital Management co-chair Howard Marks remain unconvinced that AI-driven stocks are in a bubble despite the Nasdaq-100’s. Article summary: Marks’s position is not that AI stocks are safe, but that a sharp sell-off does not establish a bubble: investors’ continuing awareness of risk cuts against the unquestioning optimism he associates with the most dangerou. Topic tags: general, news, general web. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts with fake numbers,
A sharp market decline can expose vulnerabilities without settling whether a bubble exists. Oaktree Capital Management co-chair Howard Marks puts more weight on investor psychology: in his view, a market is most dangerous when enthusiasm has overwhelmed awareness of risk. With the Nasdaq-100 down 5.5% for the week, investors were plainly discussing bubble risk—not ignoring it. 1
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That distinction explains why Marks is less categorical than investors Ray Dalio and Michael Novogratz. It does not mean he sees AI stocks as safe, or that falling prices cannot continue. It means he is reluctant to treat volatility alone as proof that a speculative mania has reached its most extreme stage.
Why Marks focuses on investor awareness
Marks’s approach treats a bubble as more than a rapid rise in prices. His Oaktree memo Is It a Bubble? separates two related questions: what companies are doing in an industry, and how investors are behaving toward it. The memo describes market bubbles as linked to excessive optimism, rather than simply to a new technology or financial development. 57
From that perspective, widespread discussion of an AI bubble matters. If investors are openly questioning valuations and risk, that suggests risk has not vanished from their thinking. Marks’s position is a reason to withhold a definitive bubble call—not evidence that the market has no bubble-like features or that a downturn is over. 1
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How Marks’s view differs from Dalio’s and Novogratz’s
The disagreement is partly about what makes the AI boom vulnerable and partly about timing.
- Ray Dalio emphasizes financing risk. He has called AI a “classic bubble,” pointing to borrowing to fund the buildout and rising interest rates as pressures that could bring it closer to bursting.
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- Michael Novogratz calls it a bubble but says the rally may continue. He described AI as “the greatest bubble of our lifetime,” while arguing that the upward trend was not yet finished.
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- Marks emphasizes the market’s state of mind. His skepticism about calling a bubble rests on whether investors have reached the sort of unguarded euphoria in which risks are no longer taken seriously.
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So “bubble” does not mean the same thing in each warning. Dalio highlights debt and rates; Novogratz accepts the bubble label but sees room for further gains; Marks asks whether investor behavior has crossed into a more dangerous, less risk-aware phase.
What the sell-off says about AI infrastructure debt
The Nasdaq-100’s 5.5% weekly decline came alongside a roughly 4.5% weekly loss for the Nasdaq Composite. 3
6 CoreWeave, an AI infrastructure company with substantial debt, became a focus of concern: reporting said its shares fell more than 15% at one point on Wednesday and about 12% on Friday.
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The broader financing question is whether companies building AI capacity can generate enough revenue and profits to meet the cost of that expansion. Debt makes the timing important: obligations remain even if customer demand or earnings take longer than expected to arrive. Market coverage identified concern about AI infrastructure firms’ ability to turn investment into profits in time to repay debt, particularly if borrowing costs rise. 7
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That concern is not proof that the entire AI trade is a bubble. It does, however, explain why investors are scrutinizing the connection between AI spending, actual business returns and the cost of financing. Dalio’s warning puts that debt-and-interest-rate relationship at the center of his case. 5
The dot-com comparison has limits
The temptation to compare AI with the dot-com boom is understandable: both involve transformative technology and large investor expectations. But Marks’s framework cautions against treating the presence of a powerful new technology—or a market decline—as a complete bubble test. His memo distinguishes company expansion from investor behavior and emphasizes the role of excessive optimism. 57
That leaves two questions to assess separately: whether AI companies are investing too aggressively, and whether investors are pricing their prospects with unrealistic confidence. The available reporting supports Marks’s emphasis on psychology and risk awareness; it does not establish a definitive valuation comparison between today’s AI leaders and dot-com-era companies. 1
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Meta’s results will test the spending story
With AI-linked shares under pressure, earnings from major technology companies are an upcoming test of investor confidence. Reuters identified Meta among the companies whose results would be watched as the AI rally wobbled. 28
The central issue is not simply how much a company spends, but whether that spending can produce enough revenue, earnings and cash flow to justify the investment. Any increase in planned AI-related spending would make that question more pressing; it would not, on its own, prove that a bubble has burst.
Marks’s view is therefore best read as a warning against easy conclusions. A 5.5% slide signals market stress. Whether it marks a bubble’s breaking point depends on a harder question: are investors still weighing the risks, and can the businesses behind the AI buildout earn adequate returns on the capital they are committing?
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What is the short answer to "Why Howard Marks Isn’t Convinced AI Stocks Are in a Bubble"?
Howard Marks argues that a 5.5% weekly Nasdaq 100 decline does not by itself prove an AI bubble: investors are openly debating risk, rather than acting as if it has disappeared.
What are the key points to validate first?
Howard Marks argues that a 5.5% weekly Nasdaq 100 decline does not by itself prove an AI bubble: investors are openly debating risk, rather than acting as if it has disappeared. Ray Dalio focuses on debt and rising rates as possible pressure points; Michael Novogratz calls AI a bubble but says the rally may not be over.
What should I do next in practice?
The market’s test is whether AI infrastructure spending can generate enough revenue and cash flow to justify its cost—especially for companies borrowing to expand.
Sources
moomoo.comAI bubble alarms are ringing loud on Wall Street! Yet Howard Marks of Oaktree Capital disagrees: the market has not yet reached its most dangerous phase, as investors remain aware of the risks.
oaktreecapital.comIs It a Bubble?