The future of media buying: Debunking the myths of agentic trading

The Canadian media landscape is no stranger to automation, but a new shift is on the horizon: agentic trading. Powered by AI agents capable of reasoning, planning, and executing complex workflows, this technology promises to transform how we approach media planning and buying.

The CMA Adtech Committee recently sat down with Benjamin Masse to discuss the emergence of the open-source Ad Context Protocol (AdCP). The conversation highlighted how an ecosystem designed to support more coordinated, autonomous collaboration can pave the way for a more agile marketing future. However, as with any technological leap, misconceptions abound. Let’s debunk a few common myths about agentic trading.

Myth 1: Agentic trading is trying to replace programmatic buying

The Reality: It’s an evolution, not an elimination. Agentic trading offers a new approach to address programmatic’s structural fragmentation.

Traditional programmatic advertising automated the auction mechanics but left us with a complex supply chain, fees and intermediary costs that can be difficult to assess, and fragmented workflows that still require heavy manual input. Agentic trading layers on top of this infrastructure, acting as an optimization and strategy layer. Instead of replacing the programmatic pipe, AI agents can help streamline these processes—reducing operational friction and allowing brands to move closer to direct publisher relationships at machine speed.

Myth 2: Agentic media buying is strictly "digital only"

The reality: Unlike early programmatic, agentic frameworks are omni-channel by design.

Traditional programmatic relies on synchronous, millisecond-level auctions requiring cookies or device IDs, meaning it has historically struggled to natively integrate offline channels. Agentic trading shifts this to asynchronous semantic negotiations. Because an AI agent can read an out-of-home (OOH) publisher's rate card or inventory availability via natural language processing, it can negotiate a billboard buy, linear television package, or print placement just as fluidly as a standard digital display banner.

Myth 3: Agentic trading adds friction to the supply chain

The reality: A unified protocol simplifies the ecosystem by deploying a fleet of specialized agents working in harmony.

Instead of a single "all-knowing" AI attempting to handle everything, frameworks like AdCP break the campaign lifecycle down into specialized, modular roles. Rather than adding friction, this division of labor streamlines the process:

1. Media buying and seller agents: The baseline transactors. Buyer agents evaluate inventory against strategic goals, while seller agents expose live publisher product catalogs, pricing, and availability.
2. Creative agents: Can generate, adapt and distribute ad variants across completely different channel formats, subject to applicable approvals, policies, and legal requirements.
3. Signals agents: Discover and activate target audiences, using appropriately authorized audience data and signals, subject to applicable privacy requirements and organizational controls.
4. Governance agents: Can support ongoing monitoring against configured brand safety, compliance, and budget parameters. These tools supplement, rather than replace, organizational oversight and accountability.

Orchestrator agents: The conductors of the entire workflow. The Orchestrator doesn't just pass data; it acts as a state machine, ensuring that a Creative Agent never builds an asset until the Governance Agent validates the budget and the Buyer Agent confirms the placement. It coordinates communication between all specialized agents and can be configured to bring human marketers into the workflow for defined critical approvals.

Because these agents all speak a standardized, common language via the protocol, they interact natively, compressing what used to take weeks of cross-platform coordination into minutes.

Myth 4: AI agents are too rigid for dynamic real-time markets

The Reality: Agentic workflows enable unprecedented agility.

Traditional automated rules-based trading can be brittle when market conditions shift. AI agents, conversely, excel at dynamic decision-making within guardrails defined by human strategists. If a sudden cultural trend spikes or consumer behavior shifts mid-campaign, the system can instantly analyze the landscape and reallocate budgets across channels in real time, ensuring optimal performance and agility that manual optimization simply cannot match.

Looking ahead: Redefining the Canadian media ecosystem

The true promise of agentic trading extends far beyond any single protocol or platform. It represents a paradigm shift for the entire Canadian digital marketing ecosystem. As adoption of autonomous agents grows, we will see a dramatic reduction in the operational silos that historically separated data analytics, media planning, and cross-channel execution. By handling the heavy cognitive lifting of media logistics, agentic ecosystems will level the playing field, allowing Canadian independent agencies, publishers, and brands to compete globally with unprecedented speed and efficiency.

We aren't just looking at faster transactions; we are looking at a more agile, creative future where technology handles the operational complexity, and marketers retain the strategic vision.

Shape the future: A call to action for marketers

The shift toward agentic frameworks is happening now. The best way to prepare is to actively and responsibly explorer these emerging tools. As media professionals, we need to move past standard automation and actively explore how intelligent agents can streamline our workflows.

Take the time to evaluate your current media planning and buying bottlenecks:

1. Where are your teams losing hours to manual data reconciliation?
2. How could a dedicated buyer agent help you optimize cross-channel performance in real-time?

Consider testing agentic tools in controlled environments and lean into open-source frameworks. By embracing agentic trading today, we can collectively build a more efficient, transparent, and high-performing media landscape for Canada's marketing future.