Marketing is living through one of its most profound transformations. Artificial intelligence has radically altered the speed and volume at which brands produce content, personalise messages, and optimise campaigns. At the same time, the data point to a trend that deserves attention: according to the EY Future Consumer Index 2025, which surveyed more than 20,000 consumers across 26 countries, 88% believe that brand messaging does not resonate with their needs and values, and more than one in three no longer considers brands when making purchasing decisions. In fast-moving consumer goods, 72% of consumers cannot tell the difference between a manufacturer’s brand and a private label in direct comparisons.
In this context, neuroscience, the discipline that studies how the human brain processes information, makes decisions, and builds emotional bonds, is beginning to occupy a meaningful place in strategic marketing conversations. Not as a replacement for data or technology, but as an indispensable complement for understanding what both, on their own, cannot explain.
What the Data Cannot See
The most cited explanation for the brand relevance crisis is message saturation. But there may be a more precise one: the human brain automatically filters out anything that does not trigger a relevant emotional response. What does not move us does not get in. And what does not get in does not influence.
Research from Harvard Business School estimates that 95% of purchasing decisions happen in the subconscious. Neuroscientist Antonio Damasio argued that decisions are not processed through pure reason, but through emotional responses anchored in prior experience. His somatic marker hypothesis proposes that emotional processes guide and shape behaviour, and decision-making in particular: bodily signals associated with past emotions, changes in heart rate, muscle tension, hormonal activation, act as markers that orient choices, consciously or otherwise. This emotional influence on decision-making operates both consciously and unconsciously, helping us navigate complex choices quickly. This theory is not without academic debate, but its central implication for marketing is interesting: emotions shape the decision before reason even enters the picture. A brand that has generated no prior emotional experience simply does not activate any relevant marker at the moment of purchase.
The data appears to back this up. According to a 2024 meta-analysis by Affectiva, campaigns with high emotional impact generate up to 2.5 times the return on advertising investment and are 31% more likely to be remembered in the long term than messages built on rational arguments. As an example, Coca-Cola uses EEG to measure emotional intensity and cognitive load in its campaigns before launch, refining its visual storytelling based on those results. Its Christmas campaigns that we all remember are not nostalgic by accident, they are nostalgic by neurological design.
The AI Paradox
Artificial intelligence is extraordinarily efficient at optimising visible metrics: clicks, reading time, open rates. But it cannot manufacture the authentic emotional response that makes a brand meaningful.
The evidence on this point is growing. A study published on SSRN in 2025, which used the temporary ChatGPT ban in Italy as a natural experiment, showed that access to generative AI produces content homogenisation among restaurants in the city of Milan, and that when the restaurants stopped using it, their content became more diverse and their engagement rose by 3.5%. Meanwhile, a CivicScience survey from 2025 found that 31% of consumers say that the use of AI in advertising makes them less likely to choose a brand.
The real risk is not that AI produces bad content, it is that it produces correct but emotionally inert content: well structured, well optimised, but unfortunately invisible to the consumer’s brain.
This paradox has a way out. AI and neuroscience are not opposites; they are complementary when combined well. TikTok, for instance, integrates AI predictive models with EEG and eye-tracking data to forecast the emotional performance of ads before launch. This is not AI instead of neuroscience but harnessing the power of AI in the service of emotional understanding.
What to Do Differently
The practical implications of this approach are very specific.
- The first is to design for emotional memory, not for instant impact: the brain does not remember what it saw, it remembers how it felt.
- The second is to recover the physical dimension of brand experience, which creates neurological anchors that no digital banner can replicate: Apple understands this, which is why it invests in stores where customers are encouraged to touch and try devices, reinforcing trust and raising purchase intent.
- The third is to structure storytelling with brain logic, tension, resolution, identity, not as a narrative trend, but because that is how memory consolidation actually works.
- And the fourth is to change what gets measured. According to a joint study by Deloitte and Emotiv, 62% of consumers feel more connected to brands whose ads have been fine-tuned using biometric and neural analysis. The tools exist: 45% of Fortune 500 companies already experiment with some form of neuromarketing.
The One Metric the Algorithm Cannot Fake
In a market where AI can replicate any tone, any format, and any narrative structure, the one thing that cannot be artificially scaled is genuine emotional response. Neuroscience does not come to complicate marketing; it comes to remind it of its original purpose. Brands do not exist on servers or in dashboards. They exist in people’s brains, in the form of emotional memories, of sensations tied to a moment, of that intangible something that makes you choose a brand without quite knowing why.
The question for any marketing leader today is not how much content their team produces with AI. It is how many genuine emotional responses their brand generates. That is the one metric the algorithm cannot fake.
Sources
EY Future Consumer Index, 15th edition (2025). Survey of 20,235 consumers across 26 countries.
Deloitte Q3 2025 Retail & Consumer Trends. Comparative consumption data: manufacturer brands vs. private label.
Harvard Business School / Gerald Zaltman. Research on subconscious consumer decision-making.
Damasio, A.R. (1994). Descartes’ Error: Emotion, Reason and the Human Brain. Putnam Publishing.
Damasio, A.R. & Bechara, A. (1996). The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philosophical Transactions of the Royal Society.
Affectiva (2024). Meta-analysis on emotional impact and return on advertising investment.
Neurons Inc. / TikTok Neuromarketing Study. Application of EEG and eye-tracking in ad optimisation.
Liu, C., Wang, T. & Yang, S.A. (2025). Generative AI and Content Homogenization: The Case of Digital Marketing. SSRN Working Paper.
CivicScience (2025). Consumer sentiment survey on AI-generated advertising.
Deloitte & Emotiv (2025). Joint study on biometrics and consumer engagement.