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Key Takeaways AI doesn’t fix shaky infrastructure; it accelerates bad decisions from unstable, laggy systems.
Layering AI onto fragmented, complex stacks adds friction. Simplification and integration must come first.
For the past 25 years, I’ve been part of scaling technology companies past the $100M mark. I’ve seen many waves of innovation over the past few decades, in cloud, mobile, SaaS and so on. Each one came with the same promise to move faster, operate smarter and gain an edge. AI is no different, but the expectations are just much higher, where many business leaders expect to see better and faster results right away.
From what I’ve seen recently, AI feels familiar in a different way. Companies aren’t struggling because they picked the wrong AI tools, they’re struggling because they’re trying to layer AI on top of systems that weren’t built to support it.
AI isn’t just another tool you plug in; it should be seen more as a stress test on how your business actually runs. And in most cases, that test is revealing gaps leaders didn’t know they had.
If you’re thinking about implementing AI or scaling what you’ve already started, there are three things I recommend that should be in place first that will save you a lot of time and trouble in the long run.
1. If your network isn’t stable, AI will amplify the problem
One of the biggest misconceptions I see is that AI will smooth out inefficiencies. It won’t. That’s because AI depends on real-time data and consistent networks that perform the same exact way every time. And if your applications lag, your connectivity fluctuates or your teams are already working around performance issues. AI does not fix that; it speeds it up.
Instead of getting better decisions, you get faster, bad ones. I’ve seen businesses where everything looks fine on paper. Systems are technically “up,” dashboards are green and nothing is fully broken. But employees are dealing with slow apps, dropped calls or workflows that don’t quite complete the way they should. That’s not stability. That’s what I’d call barely holding it together, and AI will expose that immediately.
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