The AI Question Most CEOs Get Wrong

Most AI initiatives start by asking, where can we use this? It's the wrong question, and it's why so many pilots stall before they ever turn into a real advantage.

Treating AI as an Initiative Is the First Mistake

Asking "where can we use AI" produces exactly what you'd expect: isolated experiments. A chatbot here, an automated report there, work that looks like progress on a slide but never compounds into anything bigger. Solving for tools produces tool-shaped results. It doesn't produce transformation.

The Real Constraint Isn't the Technology

The tools are mature enough for almost any use case worth pursuing. What's usually missing is the operating model to actually run them: the processes, the team alignment, the decision rights that would let AI change how work gets done instead of just sitting next to it. That gap shows up plainly in the numbers: 83% of SMB owners expect AI's impact on their business to grow significantly, but fewer than 1 in 3 have an actionable strategy behind it. The technology isn't the bottleneck. The strategy around it is.

From AI Adoption to Applied Strategy

Real transformation starts with a different question, not where AI could plug in, but where it would fundamentally change how the business creates value. That's a strategy question, not a technology one, and answering it takes real knowledge of how the business actually works, not a list of vendor tools to try next.

What Changes at the Inflection Point

The businesses that get this right tend to make the same three shifts.

• Tools become workflows. AI has to get built into the actual way work happens, not bolted onto the outside of it.
• Efficiency becomes advantage. Cost savings get matched by competitors eventually. A business built differently around AI doesn't.
• Experimentation becomes redesign. A pilot that never changes how the organization is structured was never going to become a transformation.

The Bottom Line

AI doesn't transform a business by itself. The companies that get a real advantage from it are the ones that rebuilt how they operate around what it can do, not the ones that ran the most pilots.

If your team has run AI pilots that never turned into anything bigger, or you're not sure your operating model could actually support the AI strategy you want to build, that's exactly the gap Laurel closes. Let's talk about what it would take to build a strategy AI can actually run on.