Day three at Cannes tackled some of the industry’s biggest questions: Can brand and performance finally be measured as one? What happens when AI-driven optimization becomes table stakes? And in an AI-first world, what does it actually take for a brand to stand out?
The topics were different, but the takeaway was the same: The technology has arrived. The challenge now is human.
Consumers don’t think in channels. They don’t separate brand from performance, digital from physical, or content from advertising.
Marketers do.
And in an era of AI and infinite optimization, understanding how people actually behave is becoming the real competitive edge.
Our Mental Models Are Breaking Faster Than Our Funnels.
The linear consumer journey was never truly linear. Marketers just lacked the data to prove it.
People discover brands on Instagram, research them on Google, buy from unexpected places, and recommend them before attribution models can catch up. Consumers don’t move neatly through stages because people don’t behave that way.
AI is making that reality even harder to ignore. As more questions are answered directly instead of through links, some of the signals marketers have relied on for years are starting to disappear, making connected measurement more important than ever.
The answer isn’t another funnel, it’s better measurement.
Leading marketers are connecting brand and performance, building cross-funnel measurement, and treating the customer journey as a single, messy system instead of a series of stages.
Relevance Is the New Optimization
A year ago at Cannes, AI-driven optimization was aspirational. This year, it’s table stakes. When everyone has access to the same tools, the tools stop being the advantage. Relevance becomes the advantage.
Context isn’t just environment or content. It’s understanding where someone is, what they’re doing, and why a message matters in that moment.
Contextual signals consistently outperform ads served without them because the more an ad reflects what someone is doing, thinking about, or experiencing in the moment, the less interruptive it feels and the better it performs.
The biggest gains also come when creative and media work together instead of being optimized separately. The old model of testing media on one side and creative on the other is increasingly inefficient. AI finally makes it possible to test both together and learn from the interaction between them.
Human-created content is becoming more valuable, not less. It’s what AI models train on, cite, and surface in their answers. The opportunity isn’t replacing human insight. It’s using AI to unlock and scale it.
The transition is happening quickly. The share of U.S. travelers using AI to plan trips has nearly doubled in a year. The adoption window may be shorter than many organizations think.
The Brief Is Broken (and AI Is Making It Worse)
The final session offered a warning: AI doesn’t automatically fix bad marketing. In many cases, it accelerates it.
The rise of synthetic audiences and AI-generated personas is a perfect example. Fast to create, often disconnected from reality, and usually built on assumptions instead of actual consumer behavior.
AI isn’t creating a new problem. It’s exposing old ones.
For years, marketers have relied on proxies, assumptions, and shortcuts because real consumer understanding was difficult, expensive, or slow. AI makes those shortcuts easier to create, but not necessarily more accurate.
The better use of AI is pattern recognition grounded in real conversion data and real consumer behavior.
At the same time, some younger consumers are spending less time on devices and more time in physical spaces, reminding marketers that technology doesn’t eliminate human behavior. It simply changes where it happens.
The Real Shift
The industry spent the last decade chasing better targeting, better measurement, and better automation. AI isn’t replacing those capabilities. It’s raising the stakes.
Because when everyone has access to the same tools, assumptions become liabilities and understanding people becomes the advantage.
The algorithm is becoming the baseline and context is now the competitive edge.