The Advantage is in the Thinking, Not the tool.

It is often said that when Michelangelo was asked how he created David, he explained that he simply removed everything that was not David.

As someone who does not consider himself particularly artistic, I have always found that idea fascinating. I can hardly open a full fridge and figure out what to make for dinner, let alone look at a block of granite and see a work of art. The mind truly is a powerful thing.

The masterpiece was not created in the traditional sense; it was revealed by stripping away what did not belong.

Michelangelo did not have access to better tools than others of his time. He worked with the same marble, the same chisels, and the same general conditions. What set him apart was not the equipment, but the way he approached the work.

That same distinction shows up today in a very different context.

Earlier this week, I had breakfast with a small business owner who runs a roofing company. He told me that every time he uses AI, the results feel disconnected from what he actually needs. The responses are not necessarily wrong, but they are not useful. He could not understand why the tool was not working for him.

As he walked through his experience, the issue became clear. It is a pattern I see often with professionals who are just beginning to experiment with AI.

The instinct is to use the tool to generate more—more ideas, more content, more answers. In practice, that usually leads to more noise, and instead of creating clarity, the output adds another layer of confusion while the core problem remains untouched.

There is another way to approach it.

AI is at its best when it helps you remove what does not matter. It can surface the real problem, challenge weak assumptions, and refine your thinking until something usable begins to take shape. That is where you start to see a difference in the results.

Two people can use the same system and walk away with very different outcomes. One ends up with more clutter, while the other walks away with clarity. The difference is not access to the tool, but the ability to think through the problem and use the tool to refine rather than simply generate.

This is why surface-level approaches tend to fall short. Learning a collection of tools or following short-term challenges may create activity, but it does not build real capability.

The shift happens when you begin to think strategically with the tool in front of you, regardless of which platform you are using.

AI is not the advantage, and neither is any specific tool. The advantage is the way you think.

If there is a parallel to draw, the tool is not the artist. Your thinking is.