The Curiosity Current: A Market Research Podcast
We need poets in the era of AI with Lucio Lamberti
November 3, 2026
Understanding consumer behavior requires looking beyond what people say and predicting what they will do. In this episode of The Curiosity Current, Lucio Lamberti, Full Professor at Politecnico di Milano, explores how the brain uses expectations to interpret the world, why breaking those expectations can create learning and engagement, and what neuroscience can reveal that traditional market research may miss. He also examines how AI could reshape consumer decision-making, why contradictory research findings deserve closer attention, and why understanding the reasons behind behavior matters more than prediction alone.
In this episode of The Curiosity Current, Stephanie Vance and Molly Strawn-Carreño sit down with Lucio Lamberti, Full Professor at Politecnico di Milano, to explore the relationship between neuroscience, consumer behavior, marketing, and artificial intelligence. Drawing on his work across marketing, analytics, UX, and immersive technology, Lucio challenges the traditional view of the brain as a reactive system, explaining why human perception is shaped by expectations and how this changes the way researchers should think about attention, advertising, and consumer experience.

Lucio introduces the idea of the predictive brain, which continually anticipates what will happen next and checks incoming information against existing expectations. Through schema congruency theory, he explains why experiences that challenge our expectations can encourage learning and memory, provided the difference is not so great that it becomes difficult to understand. He also explores how AI could change consumer behavior through four possible scenarios: brand flattening, selective focus, hyper-personalization, and extreme “experientialization”. As consumers delegate more decisions to AI, brands may need to rethink how they differentiate themselves and create experiences that remain meaningful.

The conversation also examines what neuroscience can add to traditional self-reported research. Lucio explains how physiological measurements can capture responses over time, while cautioning that signals from EEG or skin conductance do not directly reveal a person's emotions. He challenges researchers to reconsider the say-do gap, arguing that contradictions between reported attitudes and observed behavior may reflect poorly designed questions, social desirability, or post-hoc rationalization rather than dishonesty. Finally, he explains why prediction without understanding leaves researchers unable to identify the changes that could influence behavior, adapt when circumstances change, or distinguish correlation from causation. His closing message is that as AI becomes more capable, researchers must continue observing people, asking why, and drawing inspiration from the humanities.

What You’ll Learn:
About the Guest:
Lucio Lamberti is a Scientific Director - Osservatorio XR Technologies & Immersive Experience at POLIMI School of Management. His work combines marketing analytics, consumer behavior, user experience, immersive technology, and applied neuroscience. With an engineering background, he brings an interdisciplinary perspective to understanding how people perceive, experience, and respond to products, advertising, and emerging technologies. His research explores the psychological mechanisms behind consumer decisions, the use of neuroscience to complement traditional market research, and the implications of AI for consumer behavior and brand strategy. In this conversation, Lucio explains why understanding human behavior requires more than predictive models, why researchers should approach neuroscience claims with scientific rigor, and why keeping people at the center of technological progress is essential.

Episode Resources:

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