AI Made Marketing Easier… And Worse

By Dan Sanchez · Episode published

AI can multiply marketing output while quietly eroding trust. The answer is not less AI, but deeper human judgment, stronger inputs, and a review habit before anything reaches customers.

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AI has made it dramatically easier to produce marketing. That is the gift. It is also the trap.

When the cost of producing another email, post, image, or video drops close to zero, the temptation is to move faster than our judgment. We publish before we have read the output. We let a tool flatten our voice into competent sameness. We skip the fact-check because the draft looks finished. The result may pass the first glance while quietly spending the trust we worked years to build.

That is the real question behind the current AI marketing rush: is the tool making us better, or is it making us faster at producing work we do not believe?

Trust is the metric AI can quietly damage

Good marketing creates trust. It makes a promise, frames an offer honestly, and gives someone a reason to take the next step. If the product delivers, that trust compounds into another purchase or referral. If the marketing overpromises or sounds like everyone else, the damage may not show up in the first week’s numbers. It accumulates until people stop believing the next thing you say.

Kathleen Booth’s warning about AI making marketers lazy put language to a pattern I have been seeing. Teams are under pressure to produce, and AI rewards production. But a marketer can create more content without creating more belief. Before asking AI for another asset, ask whether the underlying idea is actually worth communicating and whether the promise is one you can stand behind.

Feed the machine something only you can provide

The poll I ran on whether AI content can be authentic landed where I expected: 51 percent said yes, if you feed it your ideas. That distinction matters. Authenticity does not come from asking a model to “sound authentic.” It comes from supplying the context that cannot be scraped from a thousand generic examples: your convictions, experience, customer language, standards, and stories.

AI is strongest when it helps me wrestle with a rough idea, find the holes in an argument, or turn a concrete point into several useful formats. It is weakest when I delegate the thinking itself. If I have not decided what I believe, the model can only make the uncertainty more polished.

That is why the humanities suddenly matter more to marketers. Values, history, stories, philosophy, and a working sense of what is true, good, and beautiful give you something to judge the output against. The tool can generate a plausible answer. It cannot decide what deserves your name.

Use multiple tools, but keep your judgment in charge

The free tiers of ChatGPT, Claude, and Gemini are now good enough that most marketers should have access to all three. They have different strengths. Claude is particularly useful for copy, while Gemini is strong when I need to work through a large amount of information. Trying the same prompt in more than one model can expose blind spots and give you a better draft.

That convenience does not remove the need for review. AI can explore an unsolved math problem and still fail to count the parking spaces in a screenshot. It can produce an impressive image or video while getting a basic detail wrong. The useful habit is to learn the potholes of each tool and build a check before the output reaches a customer.

For marketing, that check can be simple:

  • Read every line.
  • Verify every factual claim.
  • Compare the result to your actual voice.
  • Ask whether the promise matches the product.
  • Cut anything that exists only because the model had more words to spend.

The goal is not to make less marketing. It is to make more of the kind people can believe. AI gives us leverage over production. Our responsibility is to supply the depth, judgment, and lived experience that keeps that leverage from becoming noise.