AI is no longer a separate production cost sitting at the edge of advertising. It is entering the commercial structure through which agencies buy media, make work and account to clients. For creative teams, that shift is turning the brief into a document that must define not just the message, but the commercial rules around how AI systems spend money and make decisions.
The industry has long separated those jobs. Creative teams make the work. Media teams buy the distribution. Procurement and finance settle the cost. AI collapses those boundaries when the same systems can generate assets, assemble audiences, optimise placements and influence a transaction.
The real question, according to the team at Nomix Group, is no longer whether agencies will use AI. It is whether brands and agencies can make the commercial rules around AI visible before those systems change how money, control and accountability move through the work.
AI is becoming an advertising market, not a production add-on
The first sign is the speed at which AI media is acquiring the infrastructure of a functioning advertising market. Buying tools, measurement partners, creative technology, identity services and agency relationships are arriving around AI-led media at the same time. That is much different from an isolated experiment with a generative tool.
The new market has a distinct commercial behaviour. Product ads and conversational formats make the connection between creative, recommendation and transaction more immediate. Retailers and platforms are testing how natural-language discovery can lead to a product selection. Agencies are being invited into the workflow that produces and manages those assets.
For creative leaders, this makes the brief more demanding. An asset is no longer only being judged for an audience response in a familiar media placement. The asset may have to be interpreted by a recommendation system, fit a conversational context and connect cleanly to a product or offer that can be acted on.
The cost of AI is starting to travel through media deals
The new commercial pressure is not only technical. It is contractual. Some holding companies are absorbing the cost of AI infrastructure in exchange for client commitments to run spend through principal inventory. Whether that model becomes common is less important than what it reveals: the cost of AI capacity is already being negotiated into the commercial arrangements that govern media buying.
That changes the risk for brand marketers. A proposal that appears to be about faster creative development or smarter optimization may also change where media is bought, how it is priced and who benefits from the transaction. None of that is automatically wrong. It does mean the commercial rationale should be legible before the work becomes business as usual.
The same tension appears in global operating models. Skechers moved media across 31 markets to a partner combining the perspective of strategy, data, activation and reporting. The strategic appeal is obvious for a brand whose operations are truly global. The wider industry effect is that agencies will increasingly be selected not just for a media plan or creative point of view, but for the integrated systems they can run across markets.
More autonomy requires more explicit control
As AI systems move from assistance toward action, the control burden rises. A tool that helps a planner assemble options is different from one that can create a segment, place a bid, route an offer or interact with a customer before a person understands the exact decision. Industry and regulatory guidance are converging around that distinction.
The European Commission's July guidance on AI transparency sets expectations around marking and labelling AI-generated or manipulated content. The Network Advertising Initiative's guidance adds a practical layer: permissions, monitoring, logs, choice handling and accountability should scale with the authority granted to the system.
This is where creative and production teams become part of the commercial-control conversation. They need to know which assets were generated or altered, what data or systems shaped them, where employees or customers see the output, and who can approve changes. That information cannot live only in the back office.
The next brief needs a commercial rule
The industry does not need to make every AI-enabled project slower. It needs to make the decision rights clearer. An effective brief should now cover more than message, audience and deliverables. It should state where AI can be used, which decisions remain human, how the projects will be reviewed, what disclosures apply, how media incentives are handled and what "success" means.
That is not bureaucracy for its own sake. It protects creative judgment by making the commercial and governance conditions explicit. The alternative is to discover these conditions after the work is already in market, connecting AI investment, media commitment and output in ways no one anticipated.
For brand marketers, the guidance is direct: ask how AI costs, media commitments and incentives are connected before approving an integrated proposal, and set disclosure and approval rules for AI-generated work before production begins. For agency leaders, the task is to make AI pricing, principal-media implications and decision rights clear in the client relationship, and match control and documentation to the authority given to each AI system.
Why this matters for creatives
For creative and media teams, the practical shift is in the brief. Record where AI shaped an asset, an audience or a recommendation. Bring media, production and product teams into the brief when a creative asset sits near a transaction. Preserve human judgment for decisions that change a claim, correct an error, or handle a sensitive interaction.
The commercial model is not a finance problem you can ignore. It is now the context in which creative judgment is exercised. Understanding how AI systems, media commitments and incentives are connected will let you protect the work and the decisions that matter. The skills involved - knowing how to document AI use, set boundaries and collaborate across disciplines - are increasingly part of the job for AI for Creatives and for AI for Marketing professionals alike.
For most, the future of AI in the agency is now. It's part of the way you uncover the next commercial and creative milestone.
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