AI doesn't replace marketers. It redefines what marketing talent means.

I posted something on LinkedIn a few weeks ago that got me in trouble.

Not the kind of trouble where you lose your job—though a few commenters suggested I should. The kind where you realize you said something that hit a nerve you didn't expect to hit.

Here's what happened: I shared a story about a marketing leader who requested to double her BDR headcount. Not optimize the existing team with AI. Not explore automation. Just... double the humans doing the work.

My reaction was visceral: I'd consider firing her on the spot.

The comments came fast. And they were not pleased with me.

At first I was defensive. Then I asked myself: why did this land so badly?

And then I got it.

The fear is real—and it's legitimate

As marketers, we're all wondering what happens to us in this AI era. Will we become obsolete faster than any other function? The answer some days feels like yes, and that's terrifying.

Some of the pure executional work—the list building, the research, the spreadsheet wrangling—will get outsourced to AI. As it should. There are tasks AI does better than we do, without skipping rows or mistyping email addresses or needing coffee breaks.

When this conversation started, I thought it was about human vs AI. I've changed my mind about that framing.

It's not helpful to position ourselves against AI. It's not even accurate.

It's how we can do human and AI.

So the real question is: What does human value mean when execution gets automated?

Execution vs. thinking: The divide that matters

If you've built your career purely on execution, the fear is justified. Because execution is being automated.

But being automated isn't the same as being replaced. It's being forced to evolve.

This is where the difference between "thinking" and "doing" becomes impossible to ignore. The divide isn't human vs AI—it's thinkers vs executors.

And here's what I mean by thinking in marketing: making judgment calls based on your unique understanding of context. Seeing patterns across disciplines. Zooming out to grasp the big picture. Applying discernment that AI can't replicate because it lacks lived experience, cultural nuance, the ability to connect dots it hasn't been trained to see.

Thinking is harder than executing. I know because even I got lazy about it.

For a few weeks recently, I caught myself outsourcing my first-pass thinking to AI. Just trying to tick off tasks instead of being thoughtful about how I was communicating. The quality dropped. I cared less. It backfired.

So now I have two rules: think first, then be intentional. Simple but not easy.

What developing taste actually looks like

Here's what might surprise you: I barely read marketing content.

Instead, I read psychology—Daniel Kahneman's "Thinking Fast and Slow," Dan Ariely on behavioral economics. I study frameworks from James Clear and Shane Parrish about how we think, not what to think about marketing. I read Marcus Aurelius's "Meditations," F. Scott Fitzgerald's "The Great Gatsby," Emily Brontë's "Wuthering Heights," Bulgakov's "Master and Margarita"—classics that make you think deeply about human nature and behavior. Science fiction and fantasy that explore how people act in contexts that maybe don't exist yet.

I study humans, not marketing tactics. Because marketing is fundamentally about understanding people.

My translation background taught me something crucial: communication isn't about what you say. It's about what the other person receives. Living in six countries across three continents showed me that context shapes everything. What works in Copenhagen won't work in Singapore—not because the tactics differ, but because the cultural context does.

I practice curiosity as a discipline. On walks with friends, we ask "why?" about everything. Why is the sky so blue today? Why does that store have a line out the door? Why did that conversation feel awkward? It sounds trivial. But it builds your questioning muscle. It trains you to see connections others miss.

I keep a bullet journal—analog, handwritten. Morning and evening reflections. Notes on interesting ideas I encounter. Not to maximize productivity, but to think. Because writing forces you to take fuzzy thoughts and make them clear.

This is the work that builds taste. Not another marketing webinar. Not another AI productivity hack. Real thinking requires inputs from outside your field, time to let ideas marinate, and deliberate practice questioning everything.

What this looks like in practice

When I was preparing a keynote for a conference last year, I made a call that wouldn't have come from any AI tool: I used Taylor Swift's approach to community building as a framework for B2B brand building.

That connection didn't emerge from data analysis. It came from understanding both pop culture and B2B marketing deeply enough to see the pattern others missed. From having the taste to know when an unlikely connection will resonate rather than fall flat.

It was the part of the keynote that landed hardest with the audience. Because it was unexpected. Because it required judgment—the kind AI doesn't have—to make that leap.

AI can analyze Taylor Swift's engagement metrics. It can tell you her posting frequency and sentiment analysis of fan comments. But it can't make the intuitive jump to "here's how B2B brands should think about loyalty" because it doesn't have the cultural context or lived experience to know when that connection matters.

Using freed-up time to become more human

I did free up significant time in my life thanks to AI. Here's what I didn't do with it: more tasks.

Instead, I took up a 100-day rejection challenge—putting myself in situations where I'd hear "no" just to build resilience. It surprised me with moments of unexpected human connection and taught me to trust my judgment more.

I took walks in -12°C weather and looked at the impossibly blue winter sky. I anchored in gratitude. I spent unhurried time with my parents. I danced with my nephew.

All of this made me a better human. Which made me a better marketer.

Because taste and point of view doesn't come from consuming more content. It comes from living more fully, observing more carefully, connecting ideas more creatively.

What this means for marketing leaders

So back to that original question: Would I actually fire someone on the spot for requesting additional headcount for roles that AI is already replacing?

No. I was wrong to frame it that way. Leadership decisions should never be impulsive.

But I would absolutely question whether someone should be in a leadership role if they're defaulting to old solutions without exploring new ones first. Not because of the headcount request itself—but because it reveals they're not thinking strategically.

(Yes, BDRs typically report to sales, not marketing. But the principle applies across all of marketing—when leaders default to adding headcount rather than exploring how AI changes the game, that's a strategic failure regardless of function.)

Why default to increasing capacity rather than exploring solutions better suited to the current context? Has she considered how to strengthen her team with AI, or is she avoiding the question out of fear?

That's the distinction that matters in 2026: strategic thinking vs. tactical management.

The future of marketing isn't human vs AI. It's human and AI—AI for execution, humans for judgment. Which means hiring not for task completion, but for thinking capacity.

When your marketing leader brings this kind of thinking to the table, you don't just get better campaigns. You get repositioning that opens new markets. Messaging that actually differentiates. Strategies competitors can't copy because they're rooted in insight, not tactics. The kind of work that moves business outcomes, not just marketing metrics.

That requires people who have a point of view. Who develop taste by reading widely and living curiously. Who make unexpected connections across disciplines. Who ask "why?" about everything and write down what they discover.

Because when execution gets automated, strategic thinking is what remains.

The good news? This muscle can be built. It starts with one question, one walk, one book outside your field.

The marketers who thrive won't be the ones who knew AI was coming. They'll be the ones who used the disruption to become better thinkers.