Generative AI · Long read

GenAI Beyond the Hype

The history that led from the early days of AI to generative AI, the contradictory messages coming from the industry, why some projects succeed while others fail, and the right way to approach it.

Summary

  1. What it is. Generative AI is a powerful and fallible technology, and understanding what it actually does is the precondition for using it well.
  2. The landscape. Most enterprise deployments have returned nothing measurable, and the opportunity is still real; neither panic nor paralysis is a strategy.
  3. What works. The same technology produced success, failure and damage, and four organisational variables, not the model, explain the difference.
  4. Execution. Six governance pillars, four capability patterns and a gated roadmap turn the ordinary discipline into an operating model.
  5. Monday. Name an owner, see what is already happening, set a policy, pick one project you can measure, and decide honestly at ninety days.