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Drew Neisser is the founder of CMO Huddles and a globally recognized authority on B2B marketing. He’s an AdAge columnist, LinkedIn TopVoice, leading CMO coach, podcast host & friend of penguins everywhere.
When a CEO asks whether AI can just do a critical marketing job, the CMO has a choice. Fight the hype tactically or redirect the conversation strategically. The best response is not anti-AI. It is AI-literate leadership that connects the tool to business objectives, risk, positioning, and human judgment.
Can AI just do that?
It sounds like an innocent question. It is not. For a CMO, it can be a leadership test hiding inside a tactic.
One CMO faced the question after losing a product marketing lead. She had even tried to create a product marketing GPT. The output was generic. The product launch, meanwhile, required industry knowledge, creativity, and judgment. The company hoped the launch would drive major adoption among current customers and meaningful incremental revenue.
This was not a place to hand the keys to a bot and hope for the best.
The CEO was not being malicious. He was reacting to the hype.
AI is being sold as the answer to every business challenge. Replace labor. Accelerate output. Reduce costs. Make the impossible suddenly routine.
Executives who have barely used these tools can still absorb the narrative that AI should be able to do almost anything. That creates pressure on every function, not just marketing.
But hype is not strategy. And a generic answer from a machine is not a go-to-market plan.
The savvy CMO did not get trapped debating what AI could or could not do in that moment. She redirected.
She moved the conversation back to business objectives and product strategy. The board cared deeply about the launch. The product could change perceptions of the company. The stakes were too high to treat product marketing as a prompt-engineering exercise.
That shifted the discussion from task replacement to strategic risk.
It also opened a bigger question: Was it time to revisit positioning?
Out of the weeds. Into the big picture.
The best part is that this CMO was not dismissing AI. She had already used AI-enabled deep research around the product. She had outlined a positioning process. She had evaluated outside firms that specialize in aligning executive teams around transformational positioning shifts.
In other words, she was not resisting AI. She was demonstrating mastery of it.
That is the move CMOs need now. Do not let the conversation become AI versus humans. Make it strategy first, AI second.
The CMO's job is to know where AI creates leverage and where human insight, creativity, and leadership still matter. Especially when the stakes are high.
So when the CEO asks if AI can just do that, the answer may be: AI can help. Now let's talk about what we are actually trying to achieve.
Start with the business objective. Then explain where AI can help and where human judgment is still required.
It can be, but the better move is not resistance. It is informed redirection toward strategy, risk, and outcomes.
Research, synthesis, message testing, competitive analysis, and draft development are good candidates. Positioning and launch strategy still need human leadership.
AI fluency gives CMOs credibility. It lets them use the tool without letting the tool define the strategy.