Discover why infrastructure and orchestration are the real keys to unlocking AI’s maturity in advertising.
Here is an honest observation from someone who talks to advertisers every day: most of them are not skeptical about AI anymore. They get it. They’ve seen the demos. They’ve run the pilots. Many are genuinely excited about what generative AI can do for their campaigns.
And yet. When you ask those same people whether AI is actually changing how their campaigns execute across channels, the room gets quieter.
That gap between enthusiasm and execution is the most important story in advertising right now. Not the model breakthroughs. Not the creative demos. It’s the infrastructure.
The Execution Gap
Mediaocean’s 2026 Advertising Outlook Report paints a picture that will feel familiar to anyone running campaigns today. AI adoption is real and growing: 43% of marketers use it for data analysis, 43% for market research, 33% for creative development, 31% for campaign optimization. Those numbers represent genuine operational value. AI is shaping decisions and accelerating output.
But when the question shifts from “Are you using AI?” to “Is AI coordinating your execution across channels?,” the number falls to 19%.
That drop tells you everything.
We have an industry that has gotten remarkably good at deploying AI for individual tasks. Analysis here, creative there, optimization over there. We haven’t cracked the connective tissue. The part where all those AI-informed decisions actually travel through buying platforms, trafficking systems, and measurement frameworks without someone manually reconciling them at every handoff.
Think of it this way: as an industry, we’ve built dozens of smart vehicles. But we’re missing the roads.
This Problem Predates AI
The execution gap is not an AI-specific problem. AI inherited it.
Long before generative models entered anyone’s workflow, advertising was already struggling with fragmentation. The omnichannel era gave us CTV, social, display, retail media – each with its own systems, identifiers, reporting structures, and operational logic. Getting those environments to talk to each other was already the central challenge of modern marketing.
The survey data confirms this is still not a solved problem. Fragmentation across platforms and publishers remains the top concern at 56%. The complexity of cross-channel measurement and optimization sits at 49%. These are legacy structural issues, and they shape the environment into which AI is now being deployed.
What AI has done is raise the stakes significantly. When you automate analysis, creative, optimization in silos, you generate more recommendations, more variants, and more signals faster. All of that increased velocity is only as useful as your ability to coordinate it.
Without orchestration, increased speed and throughput don’t solve problems. They make them worse.
The Real Question Isn’t “Can AI Do It?”
The question that matters now is whether these AI-generated outputs can move through the entire ecosystem of campaign execution without losing coherence. Can budgeting decisions inform frequency management? Can creative sequencing self-correct based on live performance signals being piped in across channels?
If systems remain siloed, AI will keep doing impressive work in isolated pockets. And the people running campaigns will keep spending their days feverishly stitching those pockets together manually.
86% of marketers say cross-channel orchestration is important. 53% call it extremely important. Only 10% report having fully unified systems. That is a 76-point gap between what the industry says it needs and what the industry has actually built.
That means the vast majority of advertising professionals are spending their days doing what AI should be handling: manually coordinating between systems that don’t talk to each other.
Orchestration Is the Unlock
This is where orchestration becomes critical. As AI capabilities continue to advance, the limiting factor is no longer intelligence, it’s coordination. Orchestration represents the next meaningful phase of AI maturity in advertising.
The progress the industry needs isn’t going to come from bigger models or better prompts. It’s going to come from strengthening the connective architecture that lets intelligence actually travel from planning to activation to measurement. The plumbing, in other words. Not glamorous. But it’s what determines whether AI improves campaign performance or simply produces more sophisticated dashboards.
At Innovid, we’ve spent more than two decades building the infrastructure layer that campaigns run on. Trillions of data points across every major channel and format. That vantage point offers a clear view of where the industry’s challenge really sits: not in the intelligence of the tools, but in the connective tissue between them. It’s why we think about the problem less as an AI challenge and more as an orchestration one – connecting systems so intelligence can move through the full lifecycle of a campaign rather than stall between platforms.
The Next Phase
The advertising industry has spent the last two years getting comfortable with AI as a tool. The next phase is about getting serious about AI as a system. A system where intelligence doesn’t dead-end in a dashboard or a handoff, but flows through the entire lifecycle of a campaign.
That’s an infrastructure problem. And infrastructure problems are what we do.
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Cody Wymore, VP, Client Solutions, Innovid
With over ten years of experience in client solutions at Innovid, Cody Wymore is a passionate and innovative leader in the field of video advertising and marketing. As the VP, Client Solutions, he oversees a team of experts who deliver cutting-edge solutions using artificial intelligence, audience measurement, and dynamic creative strategy to help clients achieve their goals and grow their businesses.
