The Agentic Shift: Why Interoperability Is the New Operational Mandate for Modern Agencies

By Industry Insights Desk
October 8, 2026

In the rapidly evolving landscape of advertising technology, artificial intelligence has transcended its status as a mere buzzword. It has firmly established itself as the defining theme of the decade. For advertising agencies, this shift is not just about automation; it represents a fundamental restructuring of how campaigns are planned, activated, optimized, and measured.

As Patricia Clark, Vice President of Go-to-Market at Nexxen, notes, the industry is standing on the precipice of a new era: the age of agentic AI. In this emerging paradigm, a single natural language prompt is no longer just a query; it is a catalyst for a sophisticated, multi-step workflow that orchestrates data, media, and technology across disparate platforms. This evolution is forcing a long-overdue conversation about interoperability—a requirement that has moved from a "nice-to-have" technical feature to a strategic imperative.

Main Facts: The Intersection of AI and AdTech

The current advertising ecosystem is defined by fragmentation. Agencies typically juggle a sprawling tech stack consisting of various Demand-Side Platforms (DSPs), data management tools, measurement services, and creative automation suites. Historically, these systems were "walled gardens," designed to keep data and operations within a single ecosystem.

However, the rise of agentic AI—autonomous systems capable of executing complex tasks—demands a departure from these silos. The core facts driving this industry pivot are:

The Agentic Workflow: AI is moving from a passive assistant to an active agent. These agents need to "talk" to one another, pulling data from a DSP to inform a creative adjustment in real-time.
The Demand for Agility: Agencies are under immense pressure to reduce manual labor. Interoperability allows for the seamless flow of data, enabling teams to spend less time on administrative coordination and more on strategic problem-solving.
The Open Standard Movement: Protocols like the Model Context Protocol (MCP) and Agent2Agent standards are creating a common language that allows different AI agents to collaborate securely, regardless of the vendor that built them.

Chronology: From Static Automation to Agentic Ecosystems

To understand where we are, we must look at the trajectory of AI integration in advertising over the past several years:

2023: The Generative Boom: The industry was introduced to Large Language Models (LLMs). The primary use case was content generation—writing copy, creating images, and brainstorming campaign slogans.
2024: The Integration Phase: Agencies began integrating APIs into their workflows. Platforms started offering "connectors" that allowed basic data transfers between advertising tools and external AI models.
2025: The Rise of Specialized Agents: We saw the emergence of domain-specific AI agents designed for media buying, budget pacing, and audience segmentation. However, these agents remained largely isolated.
2026: The Interoperability Mandate: The current year marks a shift toward "agentic ecosystems." The focus is no longer on individual tools, but on how those tools can be orchestrated in a unified, cross-platform environment.

Supporting Data: Why Flexibility Trumps Monolithic Architecture

The value proposition of interoperability is not universal; it is highly contextual. A recent industry assessment suggests that agencies are currently segmenting their operational models based on four distinct appetites for control and innovation:

1. The Managed Service Approach (The "Personal Chef" Model)

Many agencies prefer to outsource the technical heavy lifting to a trusted partner. This model prioritizes speed and simplicity, allowing the agency to focus on creative strategy while the partner handles the complexities of platform optimization.

2. The Self-Service Model (The "Home Chef" Model)

For agencies with robust in-house engineering teams, the goal is total control. They prefer direct access to platform APIs, allowing them to build proprietary AI agents that sit on top of the DSP, effectively owning the "secret sauce" of their bidding algorithms.

3. The Hybrid Model (The "Restaurant" Model)

This is the most common path forward. It leverages the tech partner’s deep-seated expertise and platform infrastructure while maintaining enough visibility and control to customize campaign parameters. It balances the need for convenience with the need for competitive differentiation.

4. The Agentic Ecosystem Builder (The "Innovation Lab" Model)

A handful of elite agencies are moving to build their own interconnected AI ecosystems. These firms view interoperability as their primary competitive advantage, allowing them to switch between DSPs and data providers based on which one performs best for a specific client KPI.

Official Perspectives: The Nexxen Outlook

In our analysis of current market dynamics, the sentiment from leadership at companies like Nexxen is clear: agencies should never be forced to choose between flexibility and innovation.

"Agencies shouldn’t have to choose between flexibility and innovation, nor should they be locked into a single provider’s architecture," says Patricia Clark. This perspective highlights a critical tension in the industry. For years, major tech platforms have attempted to create "lock-in" effects, where the difficulty of migrating data or workflows keeps the agency tethered to one ecosystem.

The shift toward open standards is a direct challenge to this model. By prioritizing platforms that offer transparent, secure, and flexible APIs, agencies are reclaiming their autonomy. The goal, according to industry experts, is to build a foundation that is "designed for evolution." This means that even as a specific DSP’s capabilities change, the agency’s overarching agentic strategy remains intact.

Implications: Solving Problems Over Managing Complexity

The ultimate danger for agencies in 2026 is becoming obsessed with the complexity of their own systems rather than the outcomes they deliver for clients. There is a common trap of "tech bloat," where firms invest heavily in building elaborate AI infrastructures that look impressive on paper but provide little tangible value in campaign performance.

The Problem-Solving Mandate

The future of the advertising industry will not be won by the firm that adopts the most AI tools, but by the firm that solves the right problems at the right pace. Interoperability is merely the enabler; it is not the strategy itself. Agencies must ask:

Does this connectivity solve a specific pain point (e.g., reducing wasted ad spend)?
Is the integration secure and compliant with data privacy regulations?
Does this setup allow us to pivot when the market shifts?

Sustainable Growth

As we look toward the end of the decade, the agencies that thrive will be those that view their tech partners as extensions of their own teams. The relationship must go beyond basic API functionality. A true tech partner provides the "practical expertise" to help an agency determine when to build, when to buy, and when to partner.

The Road Ahead

The transition to agentic AI is not merely a technical upgrade; it is a structural revolution. As open ecosystems become the standard, the agencies that successfully integrate these tools will find themselves with a massive efficiency advantage. They will be able to manage more campaigns with less friction, deploy insights faster, and provide a level of data-driven sophistication that was previously unattainable.

However, the cautionary tale remains: without the right partnerships and a clear focus on client outcomes, even the most advanced interoperable systems can become a distraction. The winners will be those who harness the power of agentic AI to simplify the complex, not those who use it to make the simple complex.

In conclusion, the industry has reached a point where the "how" of technology is becoming just as important as the "what." By embracing interoperability today, agencies are not just preparing for the next year of AI; they are building a durable, sustainable architecture that will define the next generation of advertising success.