Still Time to Ride the AI Rally? 3 Stocks You Must Watch

Stansberry ResearchAbout 6 min readOct 23, 2025Watch original
THE SUMMARYAI-generated

Key Concepts

  • Dot-com Bubble: A period of rapid growth and subsequent collapse of internet-based companies in the late 1990s and early 2000s.
  • Global Financial Crisis (2008): A severe worldwide economic crisis triggered by the collapse of the housing market and financial institutions.
  • AI Boom: The current surge in investment and development related to Artificial Intelligence technologies.
  • Market Mania: A period of irrational exuberance and speculative buying in financial markets, often characterized by unsustainable price increases.
  • Valuation Metrics: Financial ratios used to assess the worth of a company or stock, such as Price-to-Earnings (P/E) ratio and Price-to-Sales (P/S) ratio.
  • Price-to-Earnings (P/E) Ratio: A valuation metric that compares a company's stock price to its earnings per share.
  • Price-to-Sales (P/S) Ratio: A valuation metric that compares a company's stock price to its revenue per share.
  • Forward P/E Ratio: A P/E ratio that uses estimated future earnings.
  • Initial Public Offering (IPO): The first sale of stock by a private company to the public.
  • Blow-off Top: A sharp, rapid increase in an asset's price followed by an equally sharp decline, indicating a market peak.
  • Free Cash Flow (FCF): The cash a company generates after accounting for capital expenditures.
  • Free Cash Flow Yield: A valuation metric that represents the free cash flow per share divided by the stock price.
  • Corporate Margins: The profitability of a company, often expressed as a percentage of revenue.
  • Leverage: The use of borrowed money to increase potential returns, but also increases risk.

Is the Stock Market in a Monster Bubble Like the Dot-Com Era?

This analysis delves into the current market sentiment, comparing it to the dot-com bubble of the late 1990s and early 2000s to determine if a similar crash is imminent. While acknowledging the current exuberance, particularly around AI, the evidence suggests that the market has not yet reached the extreme levels of irrationality seen during the dot-com mania.

The Psychology of Market Memory

The transcript highlights how human memory can distort past events. While the fear and stress of the 2008 Global Financial Crisis are remembered, the full vividness of the terror and uncertainty is often muted. Conversely, the dot-com bubble, characterized by its reverse insanity, is also subject to memory distortion, with people forgetting the sheer irrationality of that period.

Current Market Conditions vs. The Dot-Com Bubble

1. Market Performance:

  • Current Bull Run: The S&P 500 is up approximately 15% year-to-date, and the NASDAQ is up around 20%. The NASDAQ 100 is up about 240% from its March 2020 low.
  • Dot-Com Bubble Peak: From 1995 to March 2000, the NASDAQ soared by 1,080%.
  • Specific Stock Gains: While companies like AMD jumped 24% in a day on an AI partnership news, and Elon Musk's XAI secured a $20 billion investment despite burning $1 billion monthly, these gains are dwarfed by the dot-com era. For instance, Qualcomm rocketed 2600% in 1999 alone, and Amazon surged 1600% in about a year.

2. Initial Public Offerings (IPOs):

  • Current IPO Activity: IPOs are increasing, with some like Circle Internet Group up 380% and Coreweave up 222%.
  • Dot-Com Bubble IPOs: The average one-day IPO pop was 71% during the dot-com bubble, with examples like VA Linux Systems rising 700% in a single day with minimal business operations.
  • Volume: While there have been nearly 70 IPOs above $5 this year, this is significantly less than the 470 IPOs in 1999.

3. Valuations:

  • Price-to-Sales Ratio: While some metrics like P/S ratios have hit all-time highs, they do not account for profitability.
  • Price-to-Earnings (P/E) Ratio: The forward P/E ratio on the S&P 500 is currently around 23, which is high but not yet at the dot-com bubble peak of 26.
  • NASDAQ 100 P/E Ratio: During the dot-com bubble, the NASDAQ 100 P/E ratio approached 100, a level far exceeding current valuations.
  • Free Cash Flow: While some companies are investing heavily, leading to potential short-term impacts on free cash flow (e.g., Oracle's negative FCF), many large tech companies still maintain positive free cash flow. Free cash flow yield valuations are not yet at the peak levels seen during the dot-com bubble.

Argument: The current market exhibits signs of exuberance and "froth," but it is not yet a "mania" comparable to the dot-com bubble. The historical data and valuation metrics do not support the narrative that we are in a repeat of that extreme period.

Key Indicators to Watch for a Potential Bubble Burst

The speaker identifies crucial indicators to monitor for signs of a market bubble popping:

1. Corporate Margins:

  • Importance: High profit margins are currently supporting the market.
  • Action: Investors should closely watch corporate margins going into earnings season. A downturn in these margins could signal trouble.

2. Specific AI-Focused Stocks: These three stocks are considered "pure plays" on the AI boom and are priced for perfection, meaning any negative development will likely show up in their performance first.

  • Coreweave:

    • Business: A pure play on cloud computing for AI.
    • Financials: Has $14 billion in debt and trades at 20 times revenue, making it highly leveraged to AI's future.
    • Watch For: First signs of trouble in this stock.
  • Palantir:

    • Business: A leader in AI implementation for government and businesses.
    • Valuation: Trades at 69 times earnings.
    • Growth Expectations: Anticipates 46% revenue growth this year.
    • Watch For: Trouble if revenue growth falters.
  • Oracle:

    • Business: A large tech company that surged on a deal with OpenAI for AI computing power.
    • Recent Performance: Shares fell nearly 10% after reporting lower-than-expected cloud business margins.
    • Watch For: Signs of AI profitability struggles.

Expert Testimony: Allan Gula

Allan Gula, Senior Analyst at Stanberry Research, with experience at Goldman Sachs and Barclays Capital, provides further insights:

  • The 2008 Financial Crisis: Gula confirms that while people remember the recession, they often forget the sheer panic and terror of the financial system's near collapse. He recounts the rapid bankruptcy of Lehman Brothers, which held a Single A credit rating just days before filing, and the subsequent dramatic drops in the stock prices of major institutions like Goldman Sachs and Morgan Stanley.
  • Dot-Com Bubble Comparison: Gula emphasizes that the current market is "not even close" to the dot-com bubble in terms of irrationality. He notes that while some valuation metrics are high, the dot-com mania was a "proper mania" where people "completely lost their minds."
  • Data-Driven Analysis: Gula's analysis relies on data rather than anecdotal evidence. He points out that while top 10 S&P 500 stocks were more expensive during the dot-com bubble, the NASDAQ 100 P/E ratio during that period was significantly higher, approaching 100.
  • NASDAQ 100 Chart Analysis: A log-scale chart of the NASDAQ 100 index clearly shows the exponential rise and "blow-off top" of the dot-com bubble, which has not been replicated in the current market. The index rose another 180% in 15 months after reaching the top of its channel in December 1998.

Conclusion and Takeaways

The current stock market is experiencing a powerful bull run, fueled by enthusiasm for AI. However, a detailed review of historical data, valuation metrics, and market behavior indicates that it is not yet a repeat of the dot-com bubble's extreme mania. While a correction or crash is always possible, the evidence suggests that investors are not yet in the realm of complete irrationality.

Actionable Insights:

  • Monitor corporate profit margins closely as earnings season approaches.
  • Pay particular attention to the performance of Coreweave, Palantir, and Oracle for early signs of trouble in the AI sector.
  • Understand that market memories can be imperfect, and historical data provides crucial context for current investment decisions.

The transcript concludes by promoting Stanberry Research's AI-driven portfolio system as a way to potentially earn better, safer returns.

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