Friday, October 10, 2025

#Economy & #Stocks Review - Jamie Dimon Should Be Worried

E&S Review
Much of today's economic data, including officially collected and produced time series, is highly unreliable. Statisticians use well-documented techniques such as geometric smoothing, seasonal adjustments, substitution, double counting, and hedonic adjustments to modify economic outcomes dating back to the 1980s. Politicians and central bankers often leverage these techniques for political gain.

Data manipulated by these statistical methods are frequently revised without clear notification to the public, especially when administrations or public policies change.

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Jamie Dimon Should Be Worried

Investor enthusiasm around artificial intelligence has fueled a major stock market rally, pushing valuations to historic highs and raising concerns about a potential bubble. Since the launch of ChatGPT in 2022, AI optimism has driven massive investments into tech giants like Microsoft, Amazon, and Nvidia, which now dominate the S&P 500’s gains. While these companies are profitable and showing strong earnings — unlike during the dot-com bubble — analysts warn that current market conditions show signs of “bubble light” territory, with stretched valuations, market concentration, and speculative circular financing deals.

Leaders like IMF’s Kristalina Georgieva and JPMorgan’s Jamie Dimon have voiced caution, citing parallels to past bubbles and warning of a potential market correction that could impact global growth. The Bank of England and other institutions have echoed these concerns, highlighting risks if AI expectations fail to materialize. Despite this, investor demand for AI-related stocks remains strong, keeping the rally going — though some warn it could end abruptly if sentiment shifts.

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The Matrix provides market-driven trend, cycles, and intermarket analysis.