AI agents can research, generate, analyze, and act at a speed that changes how marketing work gets done. But speed alone doesn’t create an advantage. Teams still need to decide what the agents should do, where human expertise matters most, and how to know whether the work is contributing to growth.

That was the central question behind Humans, Agents & the Future of Marketing Teams at ADVANCE: as AI becomes part of marketing’s operating model, how should people and agents work side by side?

The discussion pointed to three practical decisions for marketing leaders: let agents take on repetitive coordination and execution, keep human judgment close to the decisions that shape meaning and trust, and redesign teams around outcomes rather than handoffs.

Where do humans create the most value?

When agents can research quickly or handle routine tasks, expertise becomes more valuable, not less. A tool may gather information at speed, but people still need to judge whether it’s relevant, spot what is missing, and connect it to a brand’s strategy and audience.

As marketing teams face pressure to do more with less time, defining those roles is critical. When people spend too much of the day coordinating projects, moving information between systems, or reconciling disconnected metrics, there’s less time left for the work that depends on experience: setting direction, making creative choices, understanding culture, and deciding what a result means for the business.

Human judgment is also essential to accountability. Teams need clear ownership of the goals, guardrails, and standards that guide agent-driven work. Automation can make decisions faster, but people must be able to understand and govern those decisions, and explain their impact.

Where should AI agents take over?

Agents are most useful where work is repetitive, rules-based, or slowed by handoffs. They can help teams find and organize information, prepare campaign materials, monitor signals, and move tasks through workflows. Used well, they can reduce the time marketers spend acting as project managers for disconnected systems.

That creates room for people to focus on the decisions behind the work. An agent might identify a change in performance or recommend an action; a marketer can assess whether that action fits the campaign objective, brand, and broader business context.

It’s not as simple as assigning tasks for people and tasks for machines. Many workflows will be shared. The goal is to give agents enough context and authority to handle defined work while keeping people able to review, redirect, and take responsibility for the outcome.

This framework is a starting point, not a fixed division of labor. As agents gain new capabilities, teams will need to revisit which decisions they can safely make and what level of human review each workflow requires.

How must advertising teams evolve?

The shift to agent-enabled marketing is an operating-model change, not just a new tool rollout. Teams need to reconsider how creative, media, data, and measurement connect, and how people and agents share context across that system.

That means building workflows with clear ownership, useful guardrails, and feedback loops. If an agent can act on campaign signals, teams need to know which signals matter, what actions are allowed, who reviews the results, and how learnings inform the next decision. Without that structure, automation can move work faster while leaving the same fragmentation in place.

It also means investing in skills that help people work effectively with agents: setting goals, giving systems the right context, checking outputs, recognizing when an answer is incomplete, and translating performance signals into action. As routine execution takes less time, marketers’ value will increasingly come from the quality of the questions they ask and the judgment they bring to the answers.

The definition of an audience may also expand. As AI tools influence how people discover and evaluate products, marketers may need to make information useful both to people and to the agents acting on their behalf. That raises practical questions about how brands present their products, structure information, and earn consideration across new discovery experiences.

From faster output to accountable growth

One idea from the ADVANCE conversation offers a useful test for every new AI workflow: does it simply reduce the cost of doing the work, or does it help the business grow?

Faster research, more creative variations, and automated tasks can all be valuable. Their value becomes clearer when teams connect them to outcomes: stronger creative, better campaign decisions, more meaningful customer connections, or growth they can explain and defend.

That takes more than adding agents to existing workflows. It requires connecting creative, media, and intelligence; establishing clear human oversight; and measuring whether the system is producing meaningful impact. The opportunity isn’t automation for its own sake, but giving people more room to do the work that requires people—and giving marketing leaders better evidence of what that work achieves.

The future marketing team will not be defined by how many agents it deploys, but by how thoughtfully it combines human expertise and machine capability, and how clearly it can show the value.

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