We’re solidly in the “you’re doing it wrong” era of AI hustling:
The companies that are thriving in the AI era are doing much more than building models. They’re building systems. They’re aggregating data, governance and workflows into AI-ready infrastructure that delivers at scale. If you’re stuck in pilot purgatory, this is your roadmap out.
And:
The McKinsey survey shows one clear signal of progress – workflow redesign. The companies with more success in using effectively using AI, about half say they’re using technology not just to do things faster, but to essentially rewrite how their business works. Most are actively rebuilding how work moves between people and systems. It’s a shift from fine-tuning the old way to creating something new entirely–and that’s what separates real transformation from just minor upgrades.
I’m suspicious of any technology that requires revolutionary changes to your organization to be successful.
It feels like a certain mixture of laziness and responsibility dodging. Laziness because the industry can’t focus on making existing work better and focus in enterprise usability/experience. Dodging because it gives the new technology an excuse for not working, achieving ROI, etc. “Our technology the problem, you’re the problem.”
Sincerely, old man yelling out cloud.