How to Use AI in Marketing Without Losing Your Strategic Edge

AI must serve as a cornerstone of any marketing team’s process, top to bottom. In reality, it should be adopted across every business unit, within any business vertical, anywhere.

It is supposed to change the way you work. But it cannot change the way you think.

As with most marketers, AI is now integrated into almost every segment of Catalyst’s workflow. It helps us research faster, organize information, pressure-test ideas, summarize complex topics, and dramatically reduce the distance between concept and execution.

I genuinely can't imagine working without it anymore.

But I've also become much more intentional about where AI enters the process.

Because I've noticed a subtle trap that I think a lot of marketers are falling into.

They're asking AI to do the one job it should never do: the thinking!

AI is the Smartest Intern at Your Company

The easiest way I know how to explain it is this:

Treat AI like an incredibly capable intern.

Give it direction, context, and feedback.

Give it something meaningful to work with.

But don't ask it to decide what your point of view should be.

Think of it like a sandwich.

Your prompts and briefs must come from you and be crafted with much (human) thought.

Let the robot do its thing.

Then revise, restructure, and reformulate with strategic intentionality.

The quality of AI's output is almost entirely dependent on the quality of the thinking that precedes and follows it.

If your brief is shallow, your output will be shallow.

If your prompt contains no original insight, your response probably won't either.

And if you don’t put serious effort into revision, everyone (EVERYONE) will be able to tell.

That's why my workflow almost always starts the same way.

I think first.

Before I open Claude, I spend time getting my own ideas onto the page. Sometimes they're organized. More often, they're not. They're incomplete, contradictory, and full of holes.

That's exactly how they should be.

Once those ideas exist, AI becomes incredibly valuable.

Now it can organize them.

Perhaps offer ideas on expanding them.

Identify supporting evidence (Perplexity is my favorite for this step).

And ultimately give me a structure that helps me communicate them more clearly.

Those are all fantastic uses of AI.

They're also very different from asking it to generate the original thinking.

Original Thinking is Becoming More Valuable, Not Less

One of the great promises of AI is that it saves time.

And certainly, it does.

We're all reclaiming dozens of hours every week because execution has become dramatically faster.

Which makes it even stranger that so many people are trying to save another thirty or forty minutes by skipping the thinking altogether.

That's the one part of the process that still creates differentiation.

The more AI-generated content floods the internet, the more valuable a genuine perspective becomes.

Because lived experience is the one thing it doesn’t (and never will) have.