AI will not break every company in the same place.
Some will break on people. The org will adopt tools faster than it develops judgment, and the gap will show up in reviews, accountability, and career paths. Some will break on process. Workflows built around slow human handoffs will not know what to do when one step becomes instant and the next still takes three approvals.
But data deserves more attention than it gets.
For years, consulting treated data as implied, which is consultant-speak for "we will discover the mess later." AI makes that harder to get away with. The model can only reason from what it can see, retrieve, and trust. Bad definitions, scattered ownership, dirty permissions, and ungoverned sources become product behavior.
That is why some AI roles will get harder, not easier. Someone has to decide what information is authoritative. Someone has to understand the business well enough to see when the output is plausible and wrong. Someone has to tell leaders that adoption numbers are not the same as capability.
The lie many tech leaders will tell themselves is that the tool changed the constraint.
Usually it just pointed at the constraint with better lighting.
Related episode: Lightning Round: Our 2026 Tech Predictions.
