Somewhere in the last year, "AI strategy" became something every business is supposed to have. There are conferences about it. Consultants selling it. Articles telling you that if you don't have one by now, you're already behind. I'd like to suggest that most of that is backwards.
The danger of starting with an AI strategy is that it feels productive without producing anything.
Strategy Follows Problems
A strategy is useful when it's built on something real. A marketing strategy works because you know who your customers are and how they find you. A hiring strategy works because you know which roles you need filled and when. These strategies start with a clear understanding of the situation and work forward from there.
An "AI strategy" that starts with "we should be using AI" has no foundation. It's a solution looking for a problem. And when the only tool you've committed to is a hammer, every problem starts to look like a nail. You end up solving the problems that fit the tool, not the problems that are actually costing you money, time, or customers.
What Works Instead
The businesses that get real value from AI don't start by asking "how do we use AI?" They start by asking "what's the most expensive problem we haven't fixed yet?" Sometimes that's a process that eats 20 hours a week of skilled labor. Sometimes it's customer inquiries that go unanswered after 5 PM. Sometimes it's institutional knowledge that walks out the door every time someone quits.
Once you're staring at a specific, concrete problem with a real cost attached to it, the question of whether AI is the right tool answers itself. Either AI fits the shape of that problem or it doesn't. If it does, you build. If it doesn't, you find what does. Either way, you've spent your time and money on something that matters instead of on a strategy document that tells you AI is important.
The Strategy Trap
You can spend months mapping out an AI roadmap, evaluating platforms, attending demos, and building internal alignment around a vision. At the end of that process, you have a plan. You don't have a result. Meanwhile, the problem that was costing you money on day one is still costing you money.
I've watched organizations go through this cycle with every major technology shift for the last two decades. The ones that moved first didn't have the best strategy. They had the clearest problem. They picked one thing, fixed it, saw the return, and let the results inform what came next. That's not a strategy. It's just good judgment.
Where to Start
Pick the problem in your business that you already know the cost of. The one where you can say "this costs us X hours a week" or "we lose Y customers a month because of this." Don't start with AI. Start with that. The right tool reveals itself when the problem is clear enough.