AI adoption is becoming an operating-model question, not only a technology decision.
Many organisations still discuss AI as a sequence of tools. The more useful question is how decision rights, evidence standards and accountability change when AI becomes embedded in daily workflows.
The market is moving faster than ever. A stronger point of view is to separate experimentation from operational deployment and explain what governance must look like at each stage.
That distinction matters because executive teams need more than a list of risks. They need a practical model for ownership, escalation and measurement that can be applied to real operating decisions.
The article can then move from the central thesis into evidence, examples, counterarguments and a clear closing implication for leaders.