They sold us a dangerous idea: that productivity was going to get to IA alone.
That it was enough to integrate models, automate flows, put copilots everywhere... and that magically the business was going to deliver more.
But global reality today is another.
Companies that have already invested heavily in IA continue to see no real impact on results, more speed, yes; more outputs, too, but not necessarily more value.
Why?
Because the IA does not fail by capacity, it fails because no one stopped to ask the uncomfortable questions before using it:
— What decisions should remain human?
— What work really creates value and which one only looks "productive"?
— What roles change... and which should disappear?
— Which leaders know how to operate with criteria and not just with dashboards?
The uncomfortable truth is this: when IA does not generate productivity, the problem is not technology, it is how the organization that uses it is designed.
A lot of companies got IA...
Without redefining processes, responsibilities or expectations and accelerating without redesigning it only amplifies chaos.
The IA did not come to make the companies more productive, it came to force them to think better and that, although uncomfortable, remains a human responsibility.
That's the real bottle neck of this era.
