The post-playbook CMO: Build systems, not just campaigns

At the end of the quarter, I was sitting in a pipeline review. We were going through the numbers when somebody said, "We should be doing more with AI."

My first thought was, we’re doing plenty with AI. But clearly, we weren't doing enough of it to register in that room.

So, I navigated the conversation, moved on to the next meeting, and found out that one of our competitors was running a campaign almost identical to the one we'd spent weeks putting together.

That experience sent me back to something I spend a lot of time thinking about: playbooks and why they break. They break for all sorts of reasons, but what I didn't see coming was how quickly AI would make our reliance on playbooks a problem for all of us.

So, here's what we'll cover in this article:

• How execution became a moat, and why AI drained it
• Why doubling down on execution won't dig us out
• Three principles for building something more durable
• The system that ties it all together, and how to start auditing your own blind spots

How we built moats out of execution

Before we dive into the playbook problem that CMOs are facing today, it’s worth examining how we got here.

Think about the org charts most of us have built or inherited. Deep teams. Broad teams. Specialists stacked on specialists. These org charts served us well for a long time because they were built around execution. The deeper and broader your team, the more you could ship. That was the moat. That was what protected you from competitors.

We had tools built around that same idea. Then those tools got democratized. Things started to shift. The moat started to drain. Suddenly, for twenty bucks a month, anyone could pick up AI and replicate what used to be the work of an entire team.

Overnight, the moat was gone.

Then we got told the new org chart should look different. You should have at least one AI agent for every employee. You should have the best AI stack in your category. You should be publishing more, sequencing better, and doing more with less. And, by the way, you have to do all this with a smaller team and a smaller budget.

So you do it because it's your job. And then someone in a board meeting or a strategy session leans forward and says, "We should be doing more with AI."

The truth is that we’re all losing. And we're not losing because of execution or org charts. Something else is going on. Every marketing team is running some version of the same strategy, just dressed up a little differently.

Where we are now: The flattening

Welcome to the flattening. That's what I call it. It's what marketing looks like when everyone has the same playbook.

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If we continue down this road, the future is a sea of sameness. Very little differentiation between brands or campaigns. Customers and prospects feel lost because they no longer have real options. The big players love this because it’s where they win. The smaller players are the ones who will struggle.

We end up here? AI made execution easy.

Producing a lot of content used to be hard. A high production value video used to require time, budget, resources, and planning. You had to ask permission, build a case, and find the calendar space. Now you can have one in minutes.

Those clever sequences you spent years modeling and refining? Someone can reverse-engineer them in an afternoon and run something nearly identical.

So we've got commoditization. And how do most of us respond? We lean into what got us here. We try to execute more. We push harder on output. We write better prompts, ship faster content, and design smarter workflows.

The trouble is that's still playbook thinking. It's just AI-flavored playbook thinking.

The problem with chasing the next best thing

Whether you're looking for the silver bullet or running on FOMO, your feed probably looks like mine; endless promises of enhanced, effortless marketing, all thanks to AI. On the surface, these prompts, hacks, and products look great. My fear is that they're empty promises.

As we chase these AI-powered quick fixes, we start to act like day traders – following the hot stock, riding meme stocks, just hoping to survive today so we can do it again tomorrow. We keep asking: what's the best tool? How do I prompt better? The problem is that those questions are all about the tools – and tools alone can’t save us.

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