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Yale InsightsOn Conference 2026 Yale Center for Customer Insights

Four Lessons from Yale’s 2026 InsightsOn Conference

The 2026 InsightsOn Conference, hosted by the Yale Center for Customer Insights, brought together leaders across marketing, strategy, insights, academia, technology, and the creator economy to ask a deceptively simple question: in a world of accelerating AI, infinite content, and collapsing attention, what should marketing actually become?

Across presentations from industry leaders from Mastercard, Coca-Cola, Reckitt, AB InBev, TikTok, Spotify, and others, a nuanced picture emerged: marketing is entering an era where technology can accelerate nearly everything, but advantage will come from the human systems built around it.

1. Smart marketers use AI to augment judgment, not replace it

The conference opened with a clear challenge: as AI changes how people search, shop, create, and decide, brands need to rethink not just their tools, but their operating models. Amanda Fraga of Mastercard framed the opportunity as “augmented intelligence”—the combination of artificial intelligence with authentic human intelligence. In her words, “AI can’t be a replacement for judgment.” It should be “a collaborator,” helping marketers surface signals, explore uncertainty, and make better decisions.

In an agentic world, discovery can collapse. Consumers and business decision-makers may no longer browse lists of options; they may ask AI systems for recommendations. As Fraga put it, “If you’re not in a model’s learned representation, you truly may not exist.” For Mastercard, that means optimizing not only for traditional search, but for conversational intent—understanding the questions people ask when they are looking for solutions around topics like stablecoins, cybersecurity, or payment processing.

Stan Sthanunathan from iGenie.ai and Maharaj Singh from Coca-Cola extended the same argument from the perspective of insights. If executives can ask ChatGPT for a point of view, insights teams need to be more than answer desks. They need to help leaders detect problems early, make tradeoffs, develop hypotheses, and act. Sthanunathan’s warning was blunt: “Insight without action is what I would call a hallucination.”

AI can automate the green-zone work—the reporting, summarizing, and first-pass analysis—but it should free humans to focus on the red-zone work: judgment, storytelling, influence, and strategic choice. As Amanda Fraga put it, “… the future belongs not to smarter machines alone. It belongs to better judgment, grounded in people, in culture, in context.” That distinction—between speed and wisdom—became a defining theme of the conference.

The executive panel of Colleen DeCourcy (Chief Marketing Officer, Sonos Inc.), Marie Gulin-Merle (GVP Ads & Commerce Marketing + Media/Martech/AI Marketing, Google), Ariana Stolarz (Managing Director, Global Chief Strategy Officer, Accenture Song), Christoph Becker (Chief Creative Officer, Whalar Group), moderated by Antonio Lucio (Chief Marketing & Corporate Affairs Officer, PayPal), echoed this theme from the leadership side. Marketing today was described as being in “a renaissance”, as “all up for grabs”, and as still facing a fundamental “marketing problem”. However phrased, the message was consistent: AI may compress the distance between insight, content, and outcomes, but it does not remove the need for taste, courage, or leadership. If anything, it raises the bar.

2. Move from collecting signals to building systems that drive action

Another major theme was the difference between having data and being able to act on it. Several speakers argued, in different ways, that most organizations do not suffer from a lack of signal. They suffer from signal traffic jams.

Maharaj Singh illustrated this with a TikTok about Diet Coke. A consumer described “marinating” a can in the refrigerator, preparing the right ice, glass, straw, and citrus, and building a ritual around the drink. The language was strange, specific, and emotionally rich—the kind of consumer truth that rarely emerges from a conventional survey. His point was not that focus groups or surveys are useless. It was that consumers are constantly revealing meaning in the wild. Brands need to know how to listen.

Rema Vasan, formerly of TikTok, made this argument even more explicitly. In a world of infinite content, she argued, cultural signal is scarce. Signal is what communities reveal when they are not being asked: what they search, remix, complain about, petition for, and repeat. “Research answers questions you already have,” she suggested; signal reveals the questions you did not know to ask. But signal only matters if it moves. Her ‘capture, translate, activate’ framework was a call to operationalize cultural listening. If a hypothesis takes more than a week to reach a decision-maker, she argued, “you don’t really have a system, you have a report.”

This sentiment was echoed by Ryan Verschoor from AB InBev, which has built an insights and capabilities model designed to align teams around category growth, brand building, and execution. The goal is not to produce isolated research outputs, but to put consumer and category understanding into the core rhythm of the business. Insights should be “at the table where every key decision is made,” not waiting downstream to validate what others have already decided.

Elaine Rodrigo’s work at Reckitt showed what this looks like when evidence and empathy connect. Reckitt brand Nurofen’s “See My Pain” campaign began with a hidden but consequential truth: one in two women say their pain has been ignored or not taken seriously because of their gender. The team connected data, social listening, medical expertise, behavioral science, and consumer empathy to expose the gender pain gap and create a campaign aimed at consumers, healthcare professionals, and retailers. This was signal translated into action—and action aimed at changing both brand meaning and lived experience.

3. Earn memory, not just attention

The conference also returned to a basic but often neglected truth: marketing does not win by merely appearing in front of people. It wins by becoming meaningful and memorable.

Leslie Zane’s presentation on rebranding made this point directly. “Most rebrands fail,” she argued, because they chase modernity at the expense of memory. Brands often strip away the distinctive assets that make them recognizable in the first place, mistaking cleanliness for strength. The Lay’s rebrand succeeded, in her view, because it preserved and strengthened mental availability. It did not erase what people already knew; it gave those associations more places to stick.

That idea connected closely to University of Pennsylvania Professor Emily Falk’s research on stories and conversations. Information alone rarely drives alignment or action. Stories help people create shared understanding. They bring people into sync, build relationships, and make messages easier to carry forward. In organizational life, this matters because leaders are constantly trying to move people around complex challenges. The lesson is simple but uncomfortable for data-heavy organizations: facts matter, but facts without meaning often die quietly in slide decks.

Ross Martin (President, Known) made the creativity case from another angle. His talk, “Why & How To Use Things Wrong,” argued that breakthrough ideas often come from misuse, distortion, and unexpected recombination. “Innovation is misuse that worked,” he said. In an industry increasingly governed by optimization, Martin’s provocation was a useful corrective. If every tool is used exactly as intended, every output starts to look like a best-practice smoothie. Technically nutritious, emotionally forgettable.

Together, Zane, Falk, and Martin pushed against the same trap: confusing efficient communication with effective communication. Brands need distinctive worlds, stories, symbols, rituals, and creative leaps that help people remember them. In a world of infinite content, memory may be the scarcest media channel.

4. Treat creators and communities as strategic partners, not channels

The conference also touched on the changing relationship between brands, creators, and communities. Sam Duboff of Spotify described creators as a new class of customer: part consumer, part entrepreneur, and highly sophisticated in how they evaluate platforms. As the creator economy professionalizes, creators do not simply want inspiration or brand love. They want utility, transparency, and tools that help them build their livelihoods.

That perspective connected with Vasan’s argument that the creator economy is one of the most misunderstood sources of intelligence in marketing. Communities are not just audiences to be targeted. They are living systems that reveal demand, shape meaning, and sometimes write the brief themselves. She shared how the McDonald’s Snack Wrap demonstrated how persistent community demand (in this case via petitions, posts, drive-thru requests, and fan messages) became not just evidence for a relaunch, but the creative foundation for it.

The executive panel also touched this broader shift in the role of marketing leadership. The job is no longer simply to manage brand messaging from the center. It is to navigate a more distributed environment where creators, consumers, algorithms, platforms, and communities all shape what a brand means. That requires humility, but not passivity. Brands still need strategy. They still need judgment. They still need to decide what to amplify, what to ignore, and where to act.

Across the conference, the future of marketing looked less like a machine taking over and more like a system becoming more demanding. AI will make the weak parts of marketing easier to automate. It will make shallow content easier to produce. It will make surface-level insight easier to fake. That is exactly why the deeper work matters more. As YCCI Executive Director Jennie Liu noted in opening the conference, “The role of marketing is not shrinking. It’s becoming more consequential.”

The strongest brands will be those that can listen widely, interpret wisely, act quickly, and build memory over time. They will use AI, but they will not outsource judgment to it. They will track signals, but they will build systems that make those signals useful. They will pursue attention, but not at the expense of meaning. And they will treat consumers and creators not as data points, but as people whose behaviors, stories, and rituals reveal where culture is going next.

The future of marketing may be more automated. But the work that matters most is becoming more human.

Find recordings of our 2026 InsightsOn presentations on our YouTube channel here.