Building the Modern Marketing Team in the AI Era

Marketing teams built around channels and headcount are hitting a wall in 2026. AI now handles execution work that used to require entire functions, buyers expect more personalization across more touchpoints, and leaders are under pressure to do more with leaner teams. In a recent eMa webinar, Founder Courtney Kehl sat down with Stephen Banbury, VP of Marketing at ClearlyRated, to unpack what a modern, AI-era marketing team actually looks like, which skills are rising in value, and how to start restructuring around outcomes this quarter.

The Problem: Bolting AI Onto an Old Org Chart

Research cited on the call, McKinsey’s State of the Organization report, names three tectonic forces reshaping companies right now: economic disruption, workforce shifts, and technology disruption. AI is the most visible of the three, but it is rarely the thing that does the damage on its own. The damage comes from how teams respond to it.

On the call, Stephen and Courtney pointed to the same four failure modes showing up across B2B marketing teams:

• Bolting AI onto an old org chart instead of rethinking the structure underneath it.
• Hiring a single “AI person” instead of building AI fluency across the whole team.
• Confusing volume with impact. More content is not the same as better marketing.
• Treating every task as either fully human or fully automated, never both on the same piece of work.

That third point has a name now. Merriam-Webster’s 2025 Word of the Year was “slop,” a nod to just how much low-quality, AI-generated content is flooding feeds and inboxes. The fix is not zero AI. It is keeping a human hand on judgment and quality control before anything ships.

What the Modern Marketing Team Actually Looks Like

The biggest structural shift is moving from channel-based silos, where teams are organized by task and success is measured in output volume, to outcome-based pods, where small groups own a result end to end and AI absorbs the routine execution underneath them. KPIs shift with it. Instead of leading with leads and MQLs, the team’s real scoreboard becomes SQLs, opportunity, and pipeline.

This is not a headcount story. Stephen was direct about it on the call: he has never downsized a team because of AI. What has changed is how he adds to a team. Roles get evaluated by outcome and activity rather than title, and new hires do not need to be AI-native, but they do need to already be comfortable working with these tools every day.

A clear ownership model, whether that is a RACI or a DACI framework, matters more once AI is doing a share of the execution work. Teams that get this right typically pair the restructure with tighter marketing operations management so the new workflows actually stick.

The Skills That Are Rising, Holding Steady, and Commoditizing

The panel mapped today’s marketing skill set into three buckets:

Rising in value

• Strategic thinking, editorial judgment and taste, data interpretation, prompt and system design, and cross-functional orchestration.

Holding steady

• Positioning, messaging, customer empathy, and relationship building. Human-to-human connection is holding, and the panel expects it to matter more, not less, as AI agents multiply.

Commoditizing

• High-volume drafting, basic design production, routine formatting, and manual data pulls. Perfect use cases for AI, not for a person’s job description.

One industry group put it well earlier this year: AI itself will not replace marketers, but marketers who use it well will replace those who do not. The same logic applies just as much to sales, operations, or any other function leaning on AI today.

Stephen also connected skills directly to discoverability, encouraging marketers to track how they show up across AEO, GEO, and traditional SEO, not just one of the three. That is the same thinking behind eMa’s own AEO and LLM SEO approach: building content that surfaces in AI search results, not just classic organic listings.

Where AI Fits, and Where It Doesn’t

The framework the panel kept coming back to was simple: automate, augment, or keep human.

Automate

• Routine, repeatable work like drafting, formatting, and first-pass research.

Augment

• Human-led work with AI leverage, like ideation, analysis, and repurposing existing content.

Keep human

• Strategy, taste, relationships, and accountability. The work AI cannot own.

Courtney described it as keeping humans as the bookends on every workflow, one at the start to set direction and one at the end to check the work before it goes out, with AI doing the heavy lifting in between. Stephen’s analogy: a great chef always tastes the food before it goes out for service. AI cannot taste the food.

The stakes are real. McKinsey’s research found that roughly one in four leaders expect AI agents to act as autonomous teammates in the near term. Teams that have not decided what to automate, augment, or protect will make that call by accident instead of on purpose.

How to Start This Quarter

None of this requires a full reorg. The panel’s advice for getting moving now:

1. Audit current roles against outcomes, not job titles

Look at what each role produces, not what it is called.

2. Identify one or two gaps slowing the team down

You do not need to fix everything at once.

3. Redesign a few workflows this quarter

Pick two or three workflows and rebuild them around AI now, rather than waiting for a bigger initiative.

4. Put AI governance and a reassessment cadence in place

Confirm how data and PII are handled before scaling any workflow, and revisit the toolset on a regular cadence as capabilities shift.

For teams that want a second set of eyes on that audit, eMa’s AI enablement services are built specifically to help B2B tech marketing teams work through this exercise without pausing everything else on the calendar.

Questions B2B Marketing Leaders Are Asking

A few things that come up whenever this topic gets raised with VPs of Marketing, CEOs, and VPs of Sales at growth-stage B2B tech companies.

Team Structure

What does a modern, AI-era marketing team actually look like?

It looks like small pods built around outcomes, not channels. Instead of separate owners for social, email, and content, a modern team pairs a few people against a result like pipeline or SQLs, with AI absorbing the routine execution underneath each pod. The org chart gets flatter and more accountable, not smaller for its own sake.

Headcount

Do I have to cut my marketing team to make AI work?

No. On eMa’s webinar with ClearlyRated, VP of Marketing Stephen Banbury was direct about this: he has never downsized a team because of AI. What changes is how you add to a team. Roles get evaluated by outcome rather than title, and new hires need to already be comfortable with AI tools on day one.

Skills

Which marketing skills should I be hiring or training for right now?

Prioritize strategic thinking, editorial judgment, data interpretation, and cross-functional orchestration. Those are the skills rising in value as AI absorbs execution. High-volume drafting, basic design production, and manual data pulls are commoditizing fast, stop building job descriptions around them.

AI Framework

How do I decide what to automate versus what to keep human?

Use three buckets. Automate routine, repeatable work like drafting and first-pass research. Augment human-led work like ideation and analysis with AI tools. Keep strategy, taste, relationships, and accountability fully human. Most teams get the middle bucket wrong, either avoiding AI there or handing it too much.

Team Audit

How do I know if my marketing team is structured the wrong way for AI?

The clearest signal is fuzzy ownership. If a campaign has three people who touched it and no one who owns the outcome, the structure is still built for channels, not results. If your team already has clear outcome owners and handoffs are not the bottleneck, you are probably fine. This is for teams where work stalls between people.

Content Quality

Is it risky to let AI produce marketing content for my company?

It is risky without a human checking it before it ships, not otherwise. Merriam-Webster’s 2025 Word of the Year was “slop,” a direct response to how much low-quality AI content is already flooding feeds. The fix is not avoiding AI. It is keeping a human at the start and end of every workflow.

Working With eMa

Does working with eMa mean replacing our internal marketing team?

No. eMa works as an extension of your existing marketing team, not a replacement for it. Most clients keep their internal team focused on strategy, relationships, and judgment, while eMa covers execution, operations, and the AI-enabled workflows underneath.

Pricing

What does it cost to get help restructuring a marketing team for AI?

It depends on scope, whether you need a single workflow audit or an ongoing quarter-by-quarter rebuild. eMa’s engagement tiers are listed on the pricing page, and most conversations start with a working session on where your team is losing time today.

Watch the Full Session and Put This Into Practice

The recap above covers the highlights. The full session includes the live Q&A, the complete skills framework, and the modern team org chart the panel walked through slide by slide.

▸ Watch the full on-demand webinar

▸ Book a strategy call with eMa