We’ve never had more ways to make marketing. I’m not sure we’ve gotten equally good at deciding what to make.
A marketing team today can generate a month’s worth of campaign concepts, copy and creative variations in a single afternoon. On paper, that’s a big win: lower production costs, faster turnaround, more shots on goal. Any CEO would take that trade.
But here’s the question I keep coming back to. If that team hasn’t figured out who it’s talking to, what business problem it’s solving or what it actually wants to change, what did it just gain? A lot of stuff, sure. Not necessarily a lot of value.
Let’s give AI its due
If you know me, I’m not an AI skeptic. #BigFan
The upside is real, and anyone pretending otherwise isn’t paying attention.
AI helps teams explore more ideas, faster. It gets people past the blank page. It makes adapting one asset into twenty formats a lot less painful. It takes repetitive, low-value work off people’s plates. Those are meaningful gains, and I’m genuinely curious about how far they’ll go.
The real question isn’t whether AI saves time and money. It does. The question is what companies do with the time and money they save. That’s where things get interesting, and where a lot of organizations are about to get it wrong.
For most of marketing’s history, execution was the constraint. Making things took time, budget and people, so teams were forced to be selective. You couldn’t make everything, so you had to choose.
That constraint is disappearing. When the next asset takes minutes, it’s tempting to treat output as proof of progress. The content calendar is full, the dashboards are busy, everyone looks productive.
But someone still has to decide which audience matters most. Someone has to decide which problem is worth solving, what the company can credibly say, and whether one more piece of content will move anything at all. AI doesn’t make those calls. People do.
Here’s how I’d put it: the cost of creating content is falling, and the value of knowing what deserves to be created is rising.
At Find Your Audience, we explore how to help teams pause before production and ask more useful questions: What problem are we solving, what evidence supports our approach, and what would make this work valuable to the audience?
Guess what: busy isn’t the same as effective
A team can publish five times as much without creating five times the value. In fact, it can create less, because more noise makes it harder for anything to land, for customers and for your own people.
So I’d push leaders to look past output counts and ask tougher questions. Did the work reach the people we actually needed to reach? Did it change how they understand us, whether they consider us, or what they do? Did it support a real business objective? And what did we learn that should change our next decision?
Picture two teams with the same budget. The first uses AI to crank out a steady stream of posts, emails and ads, loosely tied together, each one fine on its own. The second spends the time it saved on research: talking to customers, finding the one tension that actually drives buying decisions, and building a single focused campaign around it. Six months later, the first team has a bigger content library. The second team has a pipeline, a sharper position in the market and a clear read on what to do next. I know which one I’d rather fund.
So think about it. When everyone has the tools, the tools aren’t the advantage
Every competitor you have either has access to these tools already or will soon. Buying AI doesn’t set you apart any more than buying a laptop did.
The advantage comes from the quality of your understanding. How well do you know your customers? How clearly do you see your market? Do you have a point of view worth hearing, and the discipline to make real choices instead of hedging with volume?
AI can help you develop those choices and execute them well. It can’t own them. The organization is still accountable for what it puts into the world and why.
This is what leaders should expect
This is where CEOs have to step up. It’s not enough to ask marketing for a faster content calendar. That’s the easy win, and it’s the wrong goal.
Leaders should expect a clear line connecting four things: the business objective, the audience insight, the work being prioritized and the result being measured. If a team can’t draw that line, more output won’t fix it. It’ll just hide the problem.
Leaders also need to give their teams permission to say, “We shouldn’t make this.” That’s one of the most valuable sentences in marketing, and in a world of unlimited production, it’s going to get harder and harder to say unless someone at the top makes it safe. Restraint isn’t a lack of ambition. It’s a sign that people are thinking.
The best use of AI in marketing isn’t making more. It’s freeing up people for the work that actually takes thought: listening to customers, questioning assumptions, building a point of view and making better decisions.
The strongest organizations will still produce more where it helps. The difference is they’ll know why.
The future of marketing won’t belong to the teams that can make the most. It’ll belong to the teams that know what matters enough to make.
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