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AI stocks spark cautious talk among investors

OpenAI's Altman says AI stock hype may resemble dot-com bubble, urging focus on fundamentals

August 18, 2025 at 02:45 PM
blur Sam Altman Warns AI Stocks May Be in a Dot-Com Style Bubble

OpenAI chief cautions that the AI stock surge may mirror the dot-com era, urging investors to weigh fundamentals against hype.

Altman Warns AI Stocks Echo Dot-Com Bubble

OpenAI CEO Sam Altman warned that the surge in AI stocks could resemble the late 1990s dot-com bubble. In a discussion reported by The Verge, he said investors are getting carried away even though AI is a major breakthrough with uncertain business models. Altman argued that hype around AI is similar to the dot-com period when valuations rose without clear profits.

He noted that startups with small teams are attracting large funding rounds, and he warned that a market correction could hit many firms. Altman projected a mixed outcome with winners and losers, urging startups and investors to focus on fundamentals rather than momentum. Other investors such as Alibaba co founder Joe Tsai, Ray Dalio, and Torsten Slok have echoed concerns about valuations. The piece also references tools used to compare AI stocks for investors.

Key Takeaways

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Hype in AI markets may outpace actual profits
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Investors should scrutinize business models, not just headlines
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Early startup funding may reflect riskier bets
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Valuations could adjust when earnings matter more than optimism
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Winners and losers will emerge from disciplined execution
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Market sentiment could swing between exuberance and caution
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Fundamentals matter more than momentum for long-term health

"The hype around artificial intelligence is ahead of the actual business models"

Altman on market dynamics

"Startups with just three people and an idea are landing large sums"

Funding patterns in AI

"There will be both winners and losers"

Outlook for AI market outcomes

"Focus on fundamentals, not momentum"

Advice to investors

The comments underscore a familiar tension between transformative tech and market finance. Breakthroughs create appetite for capital, but finance markets tend to reward speed and hype before profits appear. The risk is not just a mispriced market; it is a loss of trust if inflated promises fail to materialize.

The real test for AI remains business models and sustainable growth. If leaders pair innovation with solid monetization, the sector can mature. If not, a painful shakeout could reshape which players survive and how capital views the field.

Highlights

  • The hype around artificial intelligence is ahead of the actual business models
  • Startups with just three people and an idea are landing large sums
  • There will be both winners and losers
  • Focus on fundamentals, not momentum

Financial risk from AI market hype

The AI stock surge and high valuations risk disappointing investors if profits and viable business models don’t catch up. A rapid correction could affect individual portfolios and institutional capital alike.

Markets adapt fastest when profits align with promises, not when hype replaces strategy.

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