Carl Pierre on where AI actually helps marketing teams and where it quietly costs more than it saves, drawn from years building brands across coworking, tech, and hospitality.
Every marketing team I talk to in 2026 is asking the same question, just phrased differently. Some call it an AI strategy. Some call it efficiency. What they actually want to know is simpler than that. Where does this help, and where is it going to cost me more than it saves.
I have spent more than a decade building brands and marketing systems, from leading coworking spaces in Washington DC to marketing in hospitality today. The tools have changed completely in that time. The fundamentals have not moved at all. Here is what holds up once the novelty wears off.
AI does not give you a point of view. It amplifies the one you already have. That is the single most important thing to understand before you spend a dollar on it. If your positioning is sharp, AI helps you express it faster and in more places. If your positioning is vague, AI helps you produce vague work at scale, which is worse than producing less of it.
This is why the teams getting real value from AI are almost always the teams that already had their brand and product marketing fundamentals in order. The tool rewarded the work they had already done. It did not replace it.
Three places, consistently. Research and synthesis, where AI compresses days of reading into a usable brief in an hour. First drafts and variation, where it gets you past the blank page and gives you ten angles to react to instead of one. And pattern finding in data, where it surfaces the question you should have been asking about your funnel or your audience.
Notice that all three are about acceleration. You still have to know what good looks like. The marketer who understands product marketing, who can tell a real insight from a plausible sentence, gets a force multiplier. The one who cannot gets confident nonsense, faster.
The damage is rarely loud. It shows up as brand voice flattening, where everything you publish starts to sound like everything everyone else publishes, because it was trained on the same middle of the road. It shows up as false confidence, where a fluent paragraph reads as true even when it is not. And it shows up as eroded judgment, where a team stops developing the instinct to know whether an idea is any good because the tool always has an answer ready.
Before handing a task to AI, I ask one question. Is this about production or about judgment. Production tasks, the drafting, the formatting, the first pass, are exactly where AI earns its place. Judgment tasks, the positioning call, the brand voice, the decision about what not to say, are where a human has to stay in the seat. Confuse the two and you will either waste the tool or let it quietly make your most important decisions for you.
The brands that win the next few years will not be the ones that adopted AI fastest. They will be the ones that already knew what they stood for, and used AI to say it more clearly, more often, to more people. The work still comes first. The tool just makes the work travel.
I write more about this in AI in Marketing, and you can read more about my background on the about page. If you want the counterpart to this piece, see where AI helps a marketing team and where it quietly hurts.
