Your ads are performing, but they are not improving. The system that produces your creative learns from your own data, optimizes from your own history, and builds from your own past. But somewhere in the last handful of campaigns, the output started to flatten. The input narrowed, but no dashboard tells you the creative is the cause.
That is the echo chamber, and you built it one reasonable choice at a time. Each one makes your performance more efficient, more consistent, and more scalable. The sum is a closed loop with no outside input. So where does the next piece of creative that delivers real impact on your growth come from?
Creative leadership and strategic oversight must stay human led, and that was the one thing everyone at Cannes agreed on.
Cannes Lions 2026 spent an entire week celebrating the tools that make these closed loops happen. Meta launched a creative solution with a feature called Brand Memory that learns your brand’s identity from your existing ads. Adobe shipped custom AI models trained on your proprietary catalog. Google, TikTok, and Amazon all debuted AI creative tools that optimize from your historical performance data. OpenAI showed up for the first time and declared itself an advertising business. These are not small announcements, and they represent real capability. But every one of them is architecturally built to produce more of what you have already done, and nobody on any of those stages asked whether any of them can produce something you haven’t. The industry already has a term for it. The acceleration of sameness.
The Line Nobody Is Drawing
AI is genuinely transforming production. That is not a talking point. It is real and it is measurable. Extending images across aspect ratios, batch formatting thousands of files to spec, translating ad copy across dozens of languages in hours instead of weeks. These are production tasks that required time, labor, and attention. AI handles them better and quicker, and every serious agency, including mine, uses it. Creative leadership and strategic oversight must stay human led, and that was the one thing everyone at Cannes agreed on.
The problem is what sits between leadership and production: the actual creative work. The concepting, the design, the writing, the content itself. That is where AI production tools are quietly creeping in. Not because someone decided to hand creative execution over to a machine, but because the tools that started in production kept expanding their reach, and the line between formatting an asset and generating one got blurry without anyone drawing attention to it.
Simon Cook, the CEO of Cannes Lions itself, put a finer point on it. He calls it mediocrity at scale and the acceleration of sameness, and he warned that the risk is diluting the distinctiveness, meaning, and emotional relevance that make creative cut through. [1]
And it does not happen all at once. The tool built for batch formatting starts generating headline variations. The system built for performance optimization starts selecting which concepts to scale and which to kill. The platform built for media buying starts assembling the creative directly. None of these transitions announces itself. Each one is a small concession that seems reasonable in isolation. That is scope creep. And scope creep is how the echo chamber takes shape without anyone deciding to build it.
What Breaks the Closed Loop
Always-on creative is the layer of work most vulnerable to the echo chamber. It is high enough volume to tempt anyone toward automation and repetitive enough that platform tools can handle the production around it. But it is also strategically important enough that letting it drift into optimized sameness damages the brand over time. And it is this layer of the work where nobody watches closely, because it does not get presented to the CMO. It just ships.
This is the work that fills the feed every day: digital ads, display variations, social creative, CTV cutdowns, app store assets, the email and push that carry the customer relationship. Hundreds and sometimes thousands of assets per quarter. Each one branded, formatted, and delivered.
A creative team that carries deep knowledge of your brand while simultaneously working across other brands in other categories sees things that a team operating inside a single brand’s data cannot. Not because they are smarter, but because the input is wider. They recognize when a design language is becoming a category default rather than a brand differentiator. They see how a creative approach gaining traction in one industry might open a door in another. They see the patterns that no single-client system will surface, because those patterns become visible when you are looking across multiple brands at the same time.
That is the structural antidote to the echo chamber. Not a bigger platform. Not a more sophisticated algorithm. A partner who stands outside the loop and leads the thinking: what gets made, why it gets made, and where it travels, with the creative judgment to make every piece of it land. AI infrastructure accelerates the production around that leadership. It never makes the decisions. That is what keeps the work distinctive and the growth real.
The partners who protect a brand best live inside the walls, and outside them at the same time.
Appendix: Sources and Data
[1] Simon Cook, CEO of Cannes Lions, interview with The Hollywood Reporter, June 2026: “mediocrity at scale and the acceleration of sameness”
https://www.hollywoodreporter.com/movies/movie-features/cannes-lion-ceo-interview-ai-industry-challenges-1236622498/