IIEX Europe 2026 made one thing clear: AI has moved from novelty to infrastructure across the insights industry, and the conversation has shifted to what people do with it. Over two days in Amsterdam, insights leaders compared notes on where AI is delivering, where it falls short, and what still depends on human judgment and relationships.
For consumer insights leaders, marketers, and innovation teams, the implications go beyond which tools to adopt. Brands need research they can act on, partners they can trust, and evidence that holds up when speed is easy but confidence is not. The stakes are rising as brands compete for attention on crowded retail shelves and in increasingly AI-driven decision environments.
Here are five takeaways from IIEX Europe 2026 that stood out, and what they mean for brands.
1. AI works best alongside humans
The clearest insight from IIEX Europe was that AI should enhance human creativity and decision-making, not replace it. Rather than positioning automation against expertise, speakers framed the two as complementary, with AI handling scale and speed while people supply judgment, context, and creativity.
This matters for brands because it reframes the question. The real question is not how much to automate, but where human judgment makes the difference. Behavioral science and human interpretation are what turn fast outputs into confident decisions when a pack or concept has to perform in a real shopping moment rather than in a model.
2. The next frontier is AI-to-AI collaboration
The most forward-looking takeaway was AI-to-AI collaboration. Specialized AI agents that interact with one another are emerging as a potential way to accelerate innovation and problem-solving, handing tasks between systems with less manual work in between.
This is early, and the practical playbook is still forming. For brands, it is a space to watch. The signal is where the workflow is heading: from single tools that assist a step to connected systems that move work forward on their own.
3. The focus is shifting from insights to action
Across the program, sessions emphasized business impact and activation rather than insight for its own sake. The bar has moved from producing a finding to changing or affirming a decision.
For insights teams, the takeaway is to make the link to the decision the priority. A study that does not change what a brand does is losing value. The opportunity is to design research around the decision it will inform, so the path from evidence to action is short and clear.
4. AI moderation has gone mainstream
One of the clearest signals from the event was how quickly AI moderation has become standard. With adoption spreading, the discussion has moved from whether the technology works to how widely it will be adopted. What looked experimental a year ago is now a baseline expectation.
For brands, the question is no longer whether AI can moderate a conversation, but where it adds value and where a skilled human moderator still changes the outcome. AI moderation can scale qualitative work and speed up early learning. The teams that win will be clear-eyed about which moments call for automation and which call for a human expert in the room.
5. Relationships are becoming a key differentiator
As the industry converges around similar AI messaging, the technology story is starting to sound the same. When every provider claims comparable capabilities, the pitch alone no longer separates one partner from another.
That puts relationships back at the center. The takeaway for brands is clear: strong partnerships, trust, and a provider who understands the business matter more than ever. In a market crowded with similar AI claims, the partner who knows your categories and stands behind the work becomes the real differentiator.
Where Behaviorally Fits Into These Shifts
These insights line up closely with the direction Behaviorally continues to invest in. The throughline from Amsterdam was that AI is most valuable when it is grounded in behavioral evidence and paired with human judgment, which is exactly the combination we build on: predictive AI tools backed by the largest behavioral database in the industry and decades of experience grounded in behavioral science.
Pack.AI, Claims.AI and PackPower Score turn behavioral data into predictive shopper insights, helping brands understand what will work at shelf before launch. The myBehaviorally platform delivers continuous, always-on packaging insights, supporting the shift from one-off projects toward ongoing intelligence and faster action. Across all of it, the aim is Decision Precision: clearer answers at the moment of choice, with AI accelerating the work and behavioral science anchoring the decision.
IIEX Europe 2026 reinforced that the next chapter of consumer insights is not about more AI. It is about better decisions, supported by AI when it adds value and by human expertise and behavioral evidence where they matter most.
Contact us today to learn more.
THE AUTHOR

Katie O'Connor is Senior Vice President, Key Accounts at Behaviorally, where she partners with global brands to turn behavioural data into smarter shopper and growth strategies. She has over 15 years’ experience in consumer insights and research innovation.
Katie specialises in translating behavioural thinking into actionable strategies across packaging, branding and marketing, and is passionate about the role of emerging technologies in shaping the future of insights.
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