Your Marketing Team Is Doing the Wrong Work

I asked my team a question a few weeks ago: of everything you did last week, how much of it was work only a human could do?

I wasn't asking to catch anyone out. I was asking because I already knew the answer because I'd asked myself the same question about my own week.

The silence wasn't embarrassment. It was recognition.

We are all in this together. I have the privilege of leading a very lean team, and I am in the work every day alongside them, which means I see exactly where the hours go. Campaigns get out the door. Deadlines get hit. The pipeline grows. But underneath that output is a huge amount of effort that has nothing to do with strategy or creativity: formatting assets, chasing approvals, re-tagging content for different channels, stitching together reports from systems that don't talk to each other.

This isn't a people problem. My team is exceptional. It's a systems problem. And AI is finally giving us the opportunity, and the reasons, to fix it.

The System Was Never Built for the Work We Were Asked to Do

Here's what I know from every marketing team I’ve led: a team's burnout isn't a sign that they can't handle the pressure. It's a sign that the infrastructure was never designed for the volume and complexity of modern marketing.

Roughly 25% of marketing leaders cite team burnout as their biggest organizational threat. I'd argue that number is actually a symptom of something deeper. We've been asking strategic, creative people to operate inside systems built for a different era. Siloed tools. Manual handoffs. Campaign processes so step-by-step that you need a project management platform just to launch a landing page.

Marketers have been doing extraordinary work despite those systems, not because of them. The strategy was always there. The insight was always there. The creativity and desire was always there. It just got buried under the operational overhead required to execute it. And so we recruited and trained people to manage the silos. We even have roles specifically designed to compensate for system failures. We buy systems on top of systems to correct bad systems!

AI doesn't fix that by making people faster at the wrong work. It fixes it by taking the wrong work off their plate entirely.

From Production to Orchestration — and Why It Changes Everything

The way I think about this shift is moving from a content production model to a content orchestration model. It sounds subtle. It isn't.

Production means humans do the work and AI assists around the edges. A writing assistant here, an image tool there. Helpful, but incremental? The org chart stays the same. The bottlenecks stay the same. And honestly, the burnout stays the same, because you've just added a new tool to an old process.

Orchestration is different. It means humans set the direction, define the standards, and make the judgment calls, while AI handles the mechanical volume. Your team is still creating. But they're creating the things only humans can: the original insight, the point of view, the strategic frame, the emotional nuance that makes a piece of content worth remembering. Everything else, the formatting, the versioning, the multi-channel assembly, the tagging, that's where AI takes over.

The human role shifts from producing everything to producing what matters most, and designing the system that scales it.

This isn't theoretical. It's how me and my leadership team will restructure how we work right now at Acquia.

Our mid-level managers are becoming workflow architects. Their job isn't to review every piece of copy line by line, or to scan a website for broken links and fix them one by one. It's to build the automated pipelines that ensure quality and consistency at scale. They're bridging creative intent and technical execution, and that combination (what I think of as digital dexterity) is becoming one of the most valuable skills a marketer can have.

Our goal is that our senior people spend less time on production and more time on what I call the Delta: the original insight, the bold opinion, the point of view that no AI can generate because it requires genuinely caring about the brand and deeply understanding the customer. The Delta is what makes your content worth being cited in an AI-generated answer rather than blended into the noise.

And we're building governance roles that didn't exist two years ago. These are people whose job is ensuring that as AI agents draft, publish, and optimize across channels, the brand stays coherent and the facts stay accurate. This isn't compliance for compliance's sake. It's how you protect trust at scale.

What AI Should Actually Feel Like for a Marketer

Here's the thing I want to push back on in most AI conversations: the idea that marketers need to learn AI.

You shouldn't have to become a prompt engineer to run a great campaign. The right platform should feel like telling a talented, well-briefed colleague what outcome you need and watching them go make it happen. You say: launch a campaign for this product, create the landing page, draft the email, schedule the social posts. And your platform, with its built-in AI agents, goes and does it, inside your brand guidelines, inside your governance rules, knowing your competition and your USP, with your review before anything goes live.

That's the shift we're building towards with Acquia Source. Not AI as a feature bolted onto an old system. AI as a digital teammate that understands your content, your brand, and your goals. It not only handles the execution it provides insights and takes the next best action to get to your OUTCOME.

The measure of a great AI-enabled platform isn't how many AI features it has. It's how much less your team has to manage, coordinate, and chase or how many hours they saved. Iit's about what they can now see that they couldn’t before. It's about thinking strategically with insights that matter.

What I'd Challenge You to Do This Quarter

If you're a marketing leader, here are the three things I'm focused on right now, and I think they're worth your attention too:

Audit time, not output. Don't ask your team what they shipped. Ask them where their hours went. If more than half is going to operational tasks that AI could handle, your systems are the bottleneck, not your people.

Invest in orchestration, not just tools. Adding an AI writing assistant to a broken workflow is like putting new tires on a car with a broken engine. The transformation isn't the tool. It's rethinking the process the tool sits inside. Start with one campaign workflow and redesign it from the outcome backwards.

Protect the Delta. As AI gets better at producing competent, average content, the gap between average and distinctive becomes your only real competitive advantage. Guard the time your team needs for original research, strong opinions, and the human connections no model can replicate. That's not a luxury. That's the strategy.

The Opportunity We've Actually Been Waiting For

The conversation about AI and marketing teams is almost always framed as a threat. Will it replace us? Will creativity become obsolete?

I think that framing misses what's actually happening.

The harder truth is that the system we had, the one that took talented, strategic people and buried them in process, was already a threat. It was burning people out. It was squandering creativity. It was asking humans to do work that machines should have been doing years ago.

AI doesn't threaten the creative soul of marketing. It gives us a genuine chance to reclaim it.

But only if we stop treating it as a tool to bolt onto what we already have, and start treating it as a reason to finally build the operating model our teams have always deserved.

That's the work I'm most excited about. And honestly, it's about time.