Most executives have tried ChatGPT by now. Most were underwhelmed.
They asked it to write an email, summarize a document, maybe help think through a strategy question. The output came back generic, shallow, or strangely overconfident. Useful for five seconds, maybe. Not something you'd build into the way you work.
So the conclusion is usually: interesting tool, not that impressive.
That conclusion is understandable. It's also usually wrong.
The Problem Is Rarely the Model
The problem is how executives use it.
Most people approach AI like a vending machine. They drop in a request, wait for something polished to fall out, and get annoyed when it doesn't. "Write this." "Summarize that." "Give me ideas." That works for low-stakes tasks. It does not work for judgment-heavy work.
Executive work depends on context. Priorities, politics, tradeoffs, tone, timing, institutional history, personal judgment. When you give AI none of that and ask for a strong answer, you're not testing the tool. You're stripping away the very conditions required for a good result.
That's why the output feels bland. You asked for intelligence without giving it the raw material for intelligent work.
An Amplifier for Thinking
The executives getting real value from AI use it differently. They do not treat it like a replacement for thinking. They treat it like an amplifier for thinking.
They give context up front. They explain the audience, the stakes, the objective, the constraints. They show what "good" looks like. They ask for options, not miracles. They use the first answer as a starting point, not a final product.
That changes everything.
A CEO preparing for a board meeting can use AI to pressure-test key arguments, surface blind spots, tighten language, compare scenarios, and organize messy inputs quickly. A founder can use it to clarify positioning, refine investor communication, or structure customer research. A professional services leader can use it to turn scattered notes into a first pass on insight, not a finished masterpiece.
In other words, AI is often best at helping you think before it helps you write.
Where the Real Value Lives
That distinction matters.
A lot of disappointment with AI comes from asking it to produce final-form work in areas where your own judgment is the whole point. If writing, deciding, advising, or framing is part of your edge, AI will not replace that edge. But it can remove friction around it. It can accelerate research, sharpen questions, organize information, and get you to a better first draft faster.
Used badly, AI produces mediocre sludge. Used well, it compresses the distance between idea and execution.
That is why most executives get bad results from ChatGPT: not because the tool is useless, but because they are using a generic method for non-generic work.
The fix is not to prompt harder. It is to work with more specificity, more context, and more honesty about what the tool is actually good for.
In the hands of an executive who knows how to use it, AI is a serious advantage.
