McKinsey just confirmed the gap between AI adoption and AI transformation. It’s not the budget. Personal use exposes accuracy problems early. Delegation scales failures first, discovers them later.
I’m currently working on a similar project and found the article and data very relatable. It seems that AI won’t take over everything, as the main challenges remain the resistance to adopting new approaches, behavior change, and other human reactions along the way. A tool is as good as the human behind it.
So true. Gone are the days of “We’ll come up with the idea and someone else will figure it out.” We can, and should, start prototyping a solution as a means to getting the ultimate result. Less talking, more results.
I’m currently working on a similar project and found the article and data very relatable. It seems that AI won’t take over everything, as the main challenges remain the resistance to adopting new approaches, behavior change, and other human reactions along the way. A tool is as good as the human behind it.
So true. Gone are the days of “We’ll come up with the idea and someone else will figure it out.” We can, and should, start prototyping a solution as a means to getting the ultimate result. Less talking, more results.