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replacing people with AI is not going well | Asmongold TV

September 1, 2026

AI Summary

5 min read

It's not that artificial intelligence is failing. It's that companies are rushing to replace people with it before the technology is ready, and the results are a mess. Taco Bell rolled out AI ordering at over 500 drive-throughs and had to scrap the system after it added bacon to someone's ice cream and hundreds of dollars of chicken nuggets to other orders. A Taco Bell executive told the Wall Street Journal that the problem is AI works most of the time, but that few percent of failures are unacceptable in a fast food context. An MIT report found that after surveying 150 business leaders and 350 employees, only 5% of integrated AI pilots are extracting millions in value. The vast majority have no measurable profit or loss impact. The failure rate for AI implementation in business is around 95%.

The hallucination problem is structural, not fixable by more data

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What you'll learn

  • 1 (02:00) **Taco Bell’s AI Drive-Through Disaster** - The host introduces the core thesis: companies are replacing humans with AI prematurely, using Taco Bell’s failed AI drive-through as the opening example.
  • 2 (03:57) **The 95% Failure Rate of AI Implementation** - A deep dive into the MIT report that found the vast majority of AI pilot programs fail to generate measurable value.
  • 3 (04:48) **The Core Argument: AI as a Force Multiplier, Not a Replacer** - The host lays out his central thesis on how AI will actually impact the workforce.
  • 4 (06:29) **The Hype vs. Reality of AI Use Cases** - A breakdown of where AI works well and where the public sentiment around it is distorted.
  • 5 (07:50) **The Technical Flaw: Why AI Hallucinates** - A brief explanation of the underlying technology that causes AI to fail.
  • 6 (10:54) **The Healthcare Horror Story: AI Creates Extra Work** - A concrete example of how replacing staff with AI in a medical setting backfires.
  • 7 (11:47) **Real-World Employee Testimonials of AI Failure** - The host reads comments from workers who have had to deal with the fallout of bad AI implementation.

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Show Notes

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