Dwi Wanna
The advertising industry stands at a critical technological inflection point. As artificial intelligence evolves from simple generative text and image creation to "agentic" capabilities—where autonomous systems plan, negotiate, and execute complex media strategies with minimal human intervention—the foundational structures of digital marketing are being rebuilt.
A new State of the Industry report, sponsored by Optable, provides a comprehensive look at this transition. By surveying 180 key stakeholders—including publishers, brands, retailers, and agencies—the report maps the current landscape of agentic advertising, detailing where capital is flowing, why adoption remains fragmented, and how the industry is attempting to bridge the gap between human strategy and machine execution.
The Dawn of Autonomous Media
Agentic AI represents a departure from traditional "co-pilot" tools. While generative AI models assist with content creation, agentic AI operates as a network of autonomous entities capable of completing end-to-end tasks. In an advertising context, this means AI agents can now identify audience segments, negotiate media buys, and optimize campaign performance in real-time.
However, the transition is not seamless. As Jon Roberts, Chief Innovation Officer at People Inc. (formerly Dotdash Meredith), noted, a "trust gap" remains the primary hurdle to mass deployment. Despite this, the promise of reclaiming time—allowing creative and media planners to focus on high-level strategy rather than the drudgery of manual data entry and tactical tweaking—is acting as a powerful accelerant for industry-wide adoption.
Chronology of Adoption: From Fragmentation to Scaling
The industry’s journey into the agentic era is currently marked by a mix of cautious experimentation and rapid, if uncoordinated, development.
- The Experimental Phase: Currently, 31% of industry players describe their status as "experimenting but fragmented," while 42% characterize themselves as "early but moving quickly."
- The Scaling Ambition: Only 18% of respondents feel the industry is truly ready to scale agentic operations. The majority remain in a state of "figuring it out," characterized by a tension between the desire for autonomy and the need for rigorous oversight.
- The Investment Priority: Capital is currently flowing heavily into media buying optimization (70%) and reporting/measurement (58%). Conversely, investment in the "guardrails"—governance and human-in-the-loop controls—lags behind at 56% and 45%, respectively. This discrepancy creates a paradox: the industry demands more governance, yet its spending patterns favor raw execution speed.
Publisher Perspectives: Infrastructure and Interoperability
For publishers, the path to agentic maturity is paved with technical challenges. Roughly 42% of publishers currently have no long-term plans for agentic advertising or are not prioritizing it, while 29% are actively deploying the technology.
Technical Barriers
The primary impediments cited by publishers are technical complexity (68%) and internal organizational readiness (51%). The shift requires a transition toward machine-readable inventory and standardized data, which many legacy systems are not equipped to handle.
Benny Pang, product leader of audience data at The Weather Company, highlights a hybrid future: "We utilize agentic workflows for audience discovery, identifying weather triggers that link real-time conditions to consumer behaviors. These agents act as a force multiplier: they handle the heavy lifting while our team provides the final verification." Pang advocates for a "manager" agent model, where proprietary internal agents coordinate a fleet of sub-agents provided by technology partners, emphasizing that interoperability protocols like AdCP (Advertising Coordination Protocol) and MCP are essential to this ecosystem.
The Advertiser Appetite: High Usage, High Stakes
In stark contrast to publishers, 89% of advertisers report that they are either currently using or actively building agentic AI capabilities. They are moving away from manual campaign configuration, instead defining high-level objectives in natural language and allowing agents to handle the discovery and matching process.
The Governance Paradox
Despite this enthusiasm, advertisers are acutely aware of the risks. Brand safety (63%) and the fear of losing control (61%) are the top concerns. As Meher Patel, founder and CEO of Hector Ai, observes: "When a system is making decisions autonomously at speed, the same thing that makes it powerful is what makes it risky—it doesn’t slow down when something goes wrong."
This "trust gap" is exacerbated by the lack of universal standards. With multiple competing frameworks currently vying for dominance, enterprise-level adoption is stalled by the fear of building on unstable infrastructure.
Agencies as the New "Control Layer"
Agencies are currently the most advanced adopters, with 92% of agency respondents reporting active use of AI. Rather than replacing the agency, agentic AI is redefining their role.
The Strategic Pivot
Agencies no longer view themselves as the "doers" of manual media tasks. Instead, 62% of agency respondents define their primary role as "managing AI agents and tools." The agency of 2026 is becoming a systems integrator—a layer that connects disparate data signals, retail commerce outcomes, and media inventory into a cohesive, machine-managed strategy.
Tom Swierczewski, vp of media investments and partnerships at Optable, argues that the most agile agencies are those that treat AI as a "test and learn" system. "We’re using AI to help with optimization, audience insights, and creative iteration," he says. "The bigger shift is starting to connect those systems so more decisions happen automatically while teams stay focused on strategy."
Implications: The Path Toward Standardization
The consensus among industry experts is that the success of agentic advertising will not be determined by the intelligence of the models themselves, but by the "connective tissue" between them.
1. The Death of Bespoke Engineering
The industry cannot afford to build custom integrations for every single partner. The adoption of open protocols—such as AdCP and MCP—is no longer optional. These protocols allow agents to communicate across organizational boundaries, providing the interoperability required for the industry to scale.
2. Machine-Readable Inventory
Publishers are under pressure to make their inventory and data "machine-readable." This means moving away from static spreadsheets and manual RFPs toward dynamic data streams that can be queried by external buy-side agents in real-time.
3. Education as a Catalyst
Across all sectors, there is a clear demand for better education. Nearly half (47%) of agencies and a similar percentage of publishers cite the "learning curve" as a major barrier. The industry needs to transition from "AI hype" to "AI utility," focusing on how specific, practical use cases—like automated PMP creation or real-time audience discovery—can directly impact the bottom line.
Conclusion: The "Always-On" Future
The transition to agentic advertising is inevitable, driven by the sheer efficiency of autonomous systems in a hyper-complex digital environment. As Bennett Crumbling of Optable points out, two-thirds of advertisers plan to increase their agentic spend over the next 18 months.
For those waiting on the sidelines for a "perfect" regulatory environment or mature standards, the risk is not just stagnation—it is irrelevance. The publishers and agencies that invest in data quality, robust identity infrastructure, and governance controls today are the ones that will design the rules of the road for the agentic economy. As the industry builds the car while driving it, the focus must remain on creating a system where human strategic intent guides machine-speed execution.
About Optable
Optable is the leading Agentic Audience Platform for publishers and media companies. By providing the infrastructure to build identity, activate premium audiences, and transact efficiently, Optable is enabling the industry to move beyond manual workflows. As a founding member of AdCP and a leader in the IAB Tech Lab, Optable is dedicated to fostering the open standards that will define the next generation of AI-powered advertising.
Ammar Sabilarrohman
Ali Ikhwan
