The case against generative AI as a business and the questionable revenue hype machine.


Measuring the success and potential of "Generative AI" is complicated.

Are we measuring usage, output quality, mindshare hype, the number of layoffs attributed to it, revenue, income, or something else?

This article, which I wish I had written, describes the tangled web of hype, power, and corporate deals driving today's Generative AI.

The case against generative AI




Short Take

  • There is no way to build the capacity required for the models and the desired demand. 
  • There is no way for LLMs to deliver trusted no-humans-in-the-loop results.
  • The reported financial results and forward-looking claims by the companies are nonsense.
  • The layoffs were misattributed. 
  • Claimed staff reductions tied to AI productivity changes don't exist

Revision History

Created 2025/10

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