Yes. You can approach AI like any other piece of technological innovation—just another Tuesday.
The real issue people have with AI—both in how they talk about it and how they try to use it—is a stunning lack of imagination.
Take enterprise software. Most AI tools in that space aren’t about building better systems. They’re about adding new layers of complexity to systems already too complex to be understood, let alone responsibly maintained.
Often times, that's the entire rationale for deploying AI in the first place.
Most enterprises spend as much time writing new code as they do burning down their own infrastructure—because the processes they’ve relied on for years don’t work.
“Oh, if we only had the time to…”
A venerable refrain, generally coming from people who are hoping you'll be very impressed by how fast they're closing tickets.
But people like that rarely stop long enough to ask the more important question: Why?
Why are we clinging to dated and broken thought models?
Why are we adding layers instead of rethinking the very businesses that depend on them?
We don’t need better tools to streamline and abstract broken workflows.
We need better workflows—and new frameworks for thinking about problems.
AI gives us a shot at that.
All we have to do is think about why we’re here.