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Source document· July 29, 2026

Experts Are Sounding the Alarm Over an AI Bubble. Here's What History Says Investors Should Do Right Now.

View original at nasdaq.com
Experts Are Sounding the Alarm Over an AI Bubble. Here's What History Says Investors Should Do Right Now. Key Points The AI industry has been wavering lately, as fears around a bubble grow…
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  • History suggests that during a bear market, overhyped and overvalued stocks with unsustainable business models, poor financial health, or weak competitive advantages will struggle the most, while companies built on solid foundations will eventually recover.

    60% confidence

  • 61% of fund managers don't expect hyperscalers to cut back on AI spending this year.

    60% confidence

  • The top 10 largest AI-related stocks now make up over 40% of the S&P 500, similar to tech stock concentration during the dot-com bubble of the early 2000s.

    60% confidence

  • Fund managers identified an AI bubble as the most pressing tail risk facing the market right now.

    60% confidence

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S&P 500 Index Fund · total return206 percent
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The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
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Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
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Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
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