The shape of the modern marketing team

There is a predictable cycle every time a new technology arrives.

First, excitement. Then experimentation. Then a rush to implementation.

Very few organisations pause long enough to ask a more important question.

What are we actually trying to fix?

Right now, most conversations about AI in marketing start with capability.

What can AI write?
What can it design?
How quickly can it produce content?

That is the wrong starting point. The most effective teams start with the underlying performance challenge, then work out where technology can genuinely improve it.

The real pressures marketing leaders are facing

In boardrooms, the conversation is about pressure.

Customer acquisition costs are rising. Attention is fragmenting. Brand loyalty is harder won. Data is everywhere, yet clarity often is not.

Marketing teams are under strain because complexity has increased faster than capability.

Content production is rarely the constraint.

Focus is.
Prioritisation is.
Connecting marketing effort directly to commercial return is.

If AI adds value, it must add value there.

Where automation genuinely earns its place

Automation matters when it removes friction.

It can eliminate repetitive analysis. Reduce manual reporting. Accelerate testing cycles. Compress the time between idea and evidence.

That changes how marketing capacity can be used.

If a team spends hours assembling reports every week, automation can return some of that time to analysis and decision-making. If campaign variations can be produced and tested more quickly, marketers can spend more time understanding why something worked. If customer data can be interrogated faster, the value comes from what the team does with the answer.

Strategy, positioning and judgement still require people who understand the business, its customers and the commercial context around the decision.

Technology should enhance human thinking.

The roles that change first

Marketing teams have traditionally grown in layers. Execution at the base. Management in the middle. Strategy at the top.

AI places pressure on the middle.

If reporting is automated and optimisation is increasingly self-adjusting, some of the coordination work that previously justified layers of management begins to shrink.

That reality is uncomfortable.

Some supervision work will diminish. Some process-driven roles will narrow.

At the same time, the need for commercial intelligence increases.

Someone still needs to understand customers at depth. Translate brand into revenue. Make sense of conflicting evidence. Challenge an attractive idea when the commercial logic does not hold. Stop activity that looks impressive but delivers little.

AI increases output.

It does not increase wisdom.

That remains a human responsibility.

So what does the modern marketing team look like?

I don't think there is one universal structure emerging.

A high-growth technology business, a global consumer brand and a scaling professional services firm will make very different choices about what sits inside their marketing teams.

What is becoming more interesting is the balance of capability within them.

Commercial thinking becomes more valuable.

Marketers increasingly need to understand how their work connects to growth, margin, customer value and wider business performance. Functional expertise still matters, but its value increases when people can connect their decisions to commercial outcomes.

Customer understanding becomes harder to outsource to the machine.

AI can process enormous volumes of information about customers. Deciding what matters within that information still requires context, curiosity and judgement.

Specialists can operate with greater leverage.

A strong marketer with access to effective tools may be able to achieve far more than the same role could several years ago. That can change the number of people required around them and the type of support they need.

Leaders need to get closer to the work.

As layers reduce, senior marketers may find themselves closer to decisions, customers, data and execution. That places a premium on leaders who can move comfortably between strategy and what is actually happening inside the function.

Judgement becomes a differentiator.

When everybody has access to similar tools, access itself creates little advantage. Knowing what deserves attention, what should be ignored and where to place the next pound of investment becomes much more valuable.

Does AI flatten structure?

Often, yes.

When the cost of execution falls, hierarchy tends to follow.

Fewer layers demand stronger individuals. Clearer accountability. Senior leaders closer to decisions and outcomes. Less reliance on process as protection.

That is a leadership shift with significant implications for hiring.

A role built around coordinating information between different parts of the function may change considerably if information can move automatically.

A specialist who previously required significant execution support may suddenly have much greater leverage.

A marketing leader managing a large delivery structure may find that their future value lies increasingly in commercial judgement, team design and deciding where human expertise deserves investment.

The organisation chart should respond to how the work changes.

The real risk is misdiagnosis

The greatest danger is misalignment.

Deploying AI against unclear strategy simply accelerates confusion. Adding automation to weak decision-making produces faster mistakes.

More data does not compensate for poor judgement.

Technology amplifies the system it enters.

That is why the first question for marketing leaders should be about performance.

Where are we losing time?
Where are decisions weak?
Where does specialist expertise genuinely make a difference?
Where are people doing work that technology can now handle?
Where would greater human judgement improve the outcome?

Once those questions are clear, the conversation about technology becomes much more useful.

Hiring for the marketing team you're becoming

This also changes the recruitment brief.

Hiring someone because their experience matches the structure you have today can make little sense if that structure is already changing.

Marketing leaders need to think about what they want people to own, how technology will change that work and which skills will become more valuable as routine activity is automated.

That may mean looking differently at career backgrounds too.

Someone's ability to interpret data, understand customers, make commercial decisions and learn quickly may become more significant as the tools themselves become easier to access.

The conversation moves towards what this person will enable the team to do next.

Redesign the work before you redesign the team

In our Denholm Unzipped series of events and podcasts, we're examining what genuinely changes inside modern marketing teams, what becomes more valuable and what leaders must redesign if automation is going to strengthen performance.

For organisations thinking about the people implications now, explore Denholm's Marketing, Communications & Creative expertise, our approach to Recruitment, or Talent Strategy & Delivery Models.

If you're reconsidering the shape of your marketing team or the roles you'll need next, call us on 03303 359 818 or email connect@denholmassociates.com.

 

You might also be wondering...

Which marketing roles should businesses hire permanently and which could become fractional?

Start with how continuously the expertise is required. Roles that own core customer relationships, brand direction or ongoing commercial priorities may benefit from permanent ownership. Highly experienced specialists or leaders can sometimes add more value on a fractional basis where the requirement is concentrated around a particular stage, problem or transformation.

How should you assess AI skills when hiring marketers?

Ask candidates how they have used AI to improve an actual piece of work and what changed as a result. Explore how they verified the output, where they chose to apply human judgement and whether the technology improved speed, quality or commercial performance. Familiarity with individual tools will date quickly. The way someone thinks about using them is more revealing.

Will smaller marketing teams need more senior people?

Potentially. If technology allows individuals to operate with greater leverage, organisations may choose to invest in fewer people with broader ownership or deeper expertise. That increases the importance of hiring people who can make decisions independently and understand the commercial consequences of their work.

How do you develop junior marketers if AI takes over more entry-level work?

This could become one of the more difficult talent questions for the industry. Junior roles have traditionally created opportunities to learn through research, production, reporting and other executional work. If some of that disappears, leaders will need to create more deliberate routes for people to develop judgement, customer understanding and strategic thinking rather than assuming experience will accumulate naturally through repetitive tasks.

Should marketing leaders restructure their teams now because of AI?

Avoid restructuring around assumptions about what AI might eventually do. Look at where the work has already changed, where genuine productivity gains are appearing and which responsibilities are becoming more or less important. That gives you evidence for redesigning roles instead of chasing the latest prediction about the future of marketing.

How do you know whether to hire a specialist or a broader marketing generalist?

Look at where expertise creates disproportionate value. If a particular channel, customer problem or technical discipline is central to growth, depth may matter enormously. Where the challenge is connecting several areas and making trade-offs between them, broader commercial judgement may be more valuable. The answer comes from the problem the role needs to solve.

What should happen to the people whose roles are changed significantly by automation?

Start by understanding which parts of their work are disappearing and which are becoming more valuable. Some people will be able to move towards analysis, customer insight, creative judgement or broader commercial ownership as routine activity reduces. That requires deliberate development and honest conversations about how the role is changing.