Every few years, a new technology wave hits and suddenly everyone feels behind.
Right now, it’s AI.
But if you’ve been in IT leadership long enough, the energy feels familiar.
We saw it with virtualization. We saw it with cloud. We saw it with BYOD.
First comes the hype. Then the fear. Then the spending. Then the pilots. Then the governance scramble. Then the realization that tools do not fix broken processes.
AI is different in one important way. Cloud changed where workloads run. AI changes how decisions are made. That makes this wave more powerful and more dangerous.
Right now I see organizations buying platforms before defining use cases. Writing policies before understanding workflows.
Running pilots without operational ownership. Measuring “innovation” instead of measurable outcomes.
That is not strategy. That is motion.
The institutions that succeeded in the cloud era were not the fastest adopters.
They were the most disciplined.
They aligned technology to friction points. They redesigned workflows.
They built governance alongside capability. They measured outcomes, not excitement. AI is not a feature to bolt on.
It is a cognitive infrastructure shift. If we treat it like a product instead of a capability, we will repeat the same mistakes.
The question is not “Are we using AI?”
The question is: Are we redesigning how we think, decide, and operate?
Because if we are not, this is just another gold rush.
And gold rushes reward miners. They rarely reward the towns that panic.
What stage do you think we’re in right now? Are you seeing disciplined adoption or reactive spending?
What guardrails are you putting in place before scaling AI?