The AI Divide Is About Comfort with Ambiguity

The AI divide isn't about intelligence. It's about comfort with ambiguity.

Here's a question I can't quite shake: why does AI seem to be having such different impacts on people who are all smart, capable, and paying attention?

Some leaders feel AI has quietly and meaningfully changed how they work. Others, often just as thoughtful and experienced, have tried it and concluded it adds only minor value.

That contrast reflects what's often described as the AI divide. To be clear, this isn't about intelligence, seniority, strategic ability, or values and ethical positions on AI. Those are important conversations in their own right. What I'm describing here is something more practical: day-to-day use, real work, real decisions.

How can two people, using the same tools, with similar experience and judgment, walk away with such different conclusions?

One factor keeps surfacing for me: comfort with ambiguity.

For the last couple of decades, we've trained leaders to rely on deterministic tools. Think Excel. Put the right inputs in, and you get the right answer out. Every time.

AI doesn't work that way.

It's probabilistic. It generates nuanced responses. Sometimes it's impressive. Often it's generic or slightly off. For leaders who prize precision, that doesn't feel creative. It feels broken.

Imagine two leaders ask AI to draft an email explaining a new policy.

• Leader A reads the output and thinks, this isn't my voice. I'd have to rewrite this anyway. It would be faster to do it myself. They conclude AI isn't particularly useful for real work.

• Leader B reads the same output and thinks, the tone is off, but the structure is there. They iterate. A few minutes later, they have a usable draft and a better sense of how to guide the tool.

The difference isn't intelligence or skill. It's what happens when the first answer isn't quite right.

• Some people evaluate AI as a product. Is it good immediately?

• Others engage it as a process. Can I shape this?

That small difference compounds. Staying with the ambiguity early builds intuition, and that intuition makes future first attempts far more effective.

This is where many smart, efficient leaders quietly bounce off AI. They're used to tools that behave cleanly and predictably. When AI doesn't, it feels unproductive rather than promising.