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Source document· July 18, 2026

Investing Legend John Templeton Has a Warning for Micron and SK Hynix Investors

View original at finance.yahoo.com
Investing Legend John Templeton Has a Warning for Micron and SK Hynix Investors Memory chipmakers have been some of the biggest winners of the artificial intelligence (AI) boom in 2026…
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  • Massive capital spending cycles like railroad, telecom, and internet infrastructure have historically collapsed, suggesting AI capital spending is unlikely to grow forever even if AI proves transformational.

    60% confidence

  • The four most dangerous words in investing are 'this time it's different' — a warning against market bubbles and crashes in which valuations deviate from historical norms.

    60% confidence

  • There is a growing chorus of investors claiming that structural demand from AI hyperscalers means this time is different for memory chipmakers, since it removes variability caused by consumer sentiment and macroeconomic factors.

    60% confidence
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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
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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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