Artificial intelligence is not one thing. That simple observation, too often overlooked, is at the heart of why so many companies struggle to gain consistent value from their AI investments.
As I talk with leaders across large enterprises, I find a persistent source of frustration: the tendency to lump all AI into a single category. This conflation muddles expectations, clouds strategies, and ultimately slows meaningful adoption. To make real progress, we must begin by segmenting AI not by its type but by how it is used.
