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The AI Misinformation Problem Is Insane

2026-11-12

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7m

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6 min read

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AI demand is framed as real because founders, CEOs, and business executives closest to the technology and its buyers see productivity gains and meaningful end-client value, while Wall Street and retail are said to be stuck calling it a bubble. The core problem is misinformation: bearish AI takes spread faster than corrections, amplified by X and TikTok-style engagement incentives, so the market keeps recycling bad stories from people who are wrong on AI. That matters for trading because reports get misread before facts catch up, even though the long-term view here stays aggressive on AI and especially AMZN. The practical stance is to keep leaning into AMZN, accept near-term noise, and only reverse if a truly bad Amazon report appears.

  • AI demand is described as real by the founders, CEOs, and business executives closest to AI and to the companies buying it.
  • AI is said to be producing real productivity gains and meaningful value for end clients.
  • The biggest opportunity is described as investing aggressively into AI technology and making more money than ever.
  • Wall Street and retail are cast as calling AI a bubble while the operator class sees real demand.
  • “24-year-old investors” are dismissed as having no business experience and no insight into the actual business economy.
  • Market information is said to be recycled from whatever goes viral on X each week, and a vast majority of the market is said to believe random large-account posters such as Michael Burry and Ed Zitron.
  • Ed Zitron is said to be wrong on AI so far, and the broader misinformation flow is said to create fear.
  • A TikToker experiment is cited: bearish videos allegedly got 10x the engagement of bullish videos, suggesting algorithms reward negativity.
  • The market is said not to be returning to a 2015 SaaS world; the only path is forward, and investors cannot fight AI because it will surface anyway.
  • A decade of repeated FUD cycles is expected: things improve, then new worries appear.
  • Anthropic’s reported “$80 billion loss” is described as not a loss but a conversion tied to a markup on debt value for one investor, AMZN, which now has to be marked up.
  • GOOGL is said to have had a current-quarter one-time, non-cash write-down from SpaceX equity that hit numbers but had nothing to do with actual revenue.
  • Corrections are said to rarely go viral, so even after the Anthropic story was corrected, 95% of the market is still said to believe the original version.
  • Trading on bad information is described as hard because a rational read of reports is not how the market behaves in the short run, especially in highly levered trades.
  • AMZN is said to be a larger long, and if the market misreads its report the response would be to go deeper into AMZN rather than abandon the position; if an AMZN report is truly bad, that would be admitted and posted on X.