How AI Is Expanding the Role of Media Leaders

AI is Redesigning Individual Media Workflows

For the past two years, the industry conversation has been dominated by what AI can do. Automate bids. Generate copy variations. Synthesize audience data. Predict campaign performance. These capabilities are real, they are scaling, and they are already embedded in the tools that media teams use every day.

But capability without role redesign creates a different kind of problem. McKinsey's State of AI research makes this explicit: AI high performers are nearly three times more likely to have fundamentally redesigned individual workflows, not merely layered AI onto existing ones. The value is in the new way of working these tools enable.

AI high performers are nearly 3x more likely to have fundamentally redesigned their workflows. Role redesign (moving planners from data entry to exception strategy) is among the highest-value changes organizations can make.  

Agents are "Expanding” Media and Marketing Roles

The functions that remain irreducibly human in a world of AI orchestration are precisely those that define the senior media leader's mandate: strategy, governance, measurement design, client counsel, and commercial negotiation. These are not adjacent activities but the job itself.

The highest-performing marketing organizations are repositioning marketing operations as 'business value engineers', sitting closer to executive decisions and carrying responsibility for connecting AI, data, and commercial strategy.

This is a meaningful elevation of the function. But it requires deliberate skill and role rebuilding. A recent Gartner’s research found that 81% of marketing technology leaders are already piloting or implementing AI agents, but the organizational capability to govern those agents, set their parameters, and evaluate their outputs at strategic level is significantly less mature.

81% of marketing technology leaders are either piloting or have already implemented AI agents. Yet the governance, oversight, and strategic direction of those agents remain significantly less developed.

The Hybrid Intelligence Model

The operating model that is emerging in the highest-performing organizations is what McKinsey calls a 'hybrid human-AI' model. In this model, agents handle orchestration and execution. Humans provide strategy, creative judgment, and governance. Growth teams become cross-functional by design, with marketers, analysts, data scientists, and media buyers working around shared workflows and common KPIs rather than channel-specific silos.

Organizations implementing AI across marketing functions report 15–25% revenue increases within 18 months, but only when combined with operating model redesign. Technology alone does not deliver the outcome.

The Skills Gap is Real and Closing it is Urgent

High performers are three times more likely to have senior leaders who demonstrate strong ownership and commitment to AI initiatives, who both model the behavior and sponsor the investment. This means the media leaders of 2026 need a new literacy while the AI takes over the technical expertise. At the same time, they need enough functional understanding to govern, to challenge, and to direct.

AI will upend commercial models, reshape brand expectations from agency partners, and demand new measures of efficient growth — requiring CMOs to 'rewire' the marketing function entirely.

What this Means for How Leaders Build their Teams

The practical implication is that the next hiring cycle for media functions should look different from the last one. The profiles that matter are not purely channel specialists. They are people who combine media strategy fluency with data literacy, with the ability to operate inside AI-orchestrated workflows and add judgment where algorithms reach their limits.

An AI orchestration platform like MINT is both the operational infrastructure and the first signal of the new kind of media organization you are building.

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