For as much as retail loves to talk about AI right now, very few people are actually explaining it in a way that feels grounded in retail history.
Most conversations jump straight to tools.
Capabilities.
Use cases.
Efficiency gains.
But at the World Retail Congress 2026 in Berlin, Brian Tilzer gave one of the clearest explanations I have heard yet for why this moment matters and, more importantly, how retailers should think about navigating it.
Because according to Brian, AI is not some isolated innovation happening off to the side of the industry.
It is retail’s third major technology wave.
First came ecommerce.
Then mobile.
Now AI.
And when you frame it that way, something important happens.
The conversation becomes less about panic and more about pattern recognition.
The retailers that successfully navigated ecommerce and mobile already understand many of the principles that will define success in this next era too.
The tools may be different.
The speed may be faster.
The complexity may be greater.
But the underlying challenge remains remarkably familiar:
How do you use technology to create more value for customers than was previously possible?
Retail Has Been Here Before
One of the smartest points Brian made during our conversation was that retailers should resist treating AI as if they are operating without precedent.
Because in many ways, they are not.
The ecommerce wave fundamentally changed convenience.
The mobile wave fundamentally changed accessibility.
AI now has the potential to fundamentally change personalization, service, and decision-making.
And according to Brian, the retailers that historically won these moments all shared two important traits.
First, they dramatically improved the customer experience.
Not incrementally.
Not cosmetically.
Fundamentally.
Second, they adapted how they connected with customers as consumer behavior evolved around new technologies.
Retailers once mastered print circulars.
Then websites.
Then SEO.
Then mobile engagement.
Now the next interface layer is emerging in real time through conversational AI and agentic commerce.
The mechanics shift.
But the strategic questions stay surprisingly consistent.
AI Should Amplify Humans, Not Replace Them
One of the biggest themes throughout the conference was AI’s impact on labor and efficiency.
And understandably so.
Retailers are under enormous pressure to improve productivity while simultaneously dealing with rising customer expectations and increasingly complex operations.
But Brian approached the topic from a completely different angle.
The real opportunity is not simply reducing labor.
It is enhancing human capability.
“The retailers that are going to win are going to use AI… to make an even better human experience.”
That line reframed a lot for me.
Because retail has always been built on the interaction between three things:
The physical environment.
The digital environment.
And the human experience connecting the two.
Historically, technology conversations focused primarily on the physical and digital sides of that equation.
AI changes that dynamic entirely.
For the first time, retailers have tools that can materially improve how humans operate within the experience itself.
Helping associates better understand intent.
Helping service teams respond faster.
Helping organizations personalize interactions at scale.
Helping employees focus less on repetitive tasks and more on relationship-building and problem-solving.
That is a very different framing than the typical “AI replaces people” narrative dominating so much of the conversation right now.
The Retailers That Win Will Learn Faster
Brian also brought an important level of realism to the broader AI discussion.
Nobody fully knows what the winning operating model looks like yet.
The technology is evolving too quickly.
Consumer behaviors are shifting too quickly.
The capabilities themselves are changing almost monthly.
Which means certainty is not really the competitive advantage anymore.
Adaptability is.
“The ones who can test, learn, and iterate faster are going to win.”
That may sound obvious.
But operationally, it represents a massive shift for many retailers.
Traditional retail organizations were built around long planning cycles, rigid budgeting structures, and carefully sequenced roadmaps.
That model becomes much harder to sustain in an environment where customer expectations and technological capabilities are changing simultaneously in real time.
Brian talked extensively about the need for organizations to revisit priorities more frequently and create tighter feedback loops across the business.
Not abandoning strategic direction.
But becoming significantly more flexible in how execution happens underneath it.
And honestly, that may end up being one of the defining characteristics separating the next generation of retail leaders from everyone else.
AI Is Creating An Entirely New Customer Interface
One of the more fascinating parts of the conversation centered on how customer discovery itself is changing.
Historically, retailers had to learn how to compete across entirely new surfaces as technology evolved.
Search engines changed acquisition.
Mobile changed engagement.
Social changed influence.
Now AI is reshaping discovery yet again.
And according to Brian, retailers are entering a world where they are no longer only competing for consumer attention directly.
They are increasingly competing for algorithmic preference.
That shift has massive implications.
Because suddenly things like structured product data, inventory transparency, contextual relevance, and machine readability become strategic assets in ways they never fully were before.
AI agents may increasingly influence where consumers shop, what products get surfaced, and which retailers enter the consideration set at all.
That changes the nature of digital competition entirely.
The Biggest Opportunity Might Be Solving Old Problems
What I appreciated most about Brian’s perspective was that he never drifted too far into futuristic abstraction.
Because while AI absolutely opens the door to entirely new experiences, some of its biggest opportunities may actually come from fixing the operational issues retailers have struggled with for decades.
Inventory visibility.
Product attribution.
Assortment planning.
In-stock consistency.
Communication clarity.
The unglamorous retail fundamentals.
“There are such new ways to actually get better at those things.”
And that point matters because retail history tends to reward the companies that operationalize innovation best, not necessarily the companies with the loudest innovation narratives.
The winners are usually the ones who quietly execute better than everyone else.
Retail’s Next Transformation Requires Organizational Change
The other major theme running underneath the conversation was organizational structure itself.
Because according to Brian, AI cannot live inside isolated innovation teams.
Not anymore.
The impact touches every part of the enterprise simultaneously:
Store operations.
Merchandising.
Marketing.
Supply chain.
Customer service.
Product management.
Associate enablement.
Everything becomes interconnected.
And that means retailers need significantly more cross-functional collaboration than they have historically been comfortable operating with.
It also means frontline teams become even more strategically important.
Because the store increasingly becomes both the testing ground and the feedback engine for understanding what actually works.
The Bigger Takeaway
This conversation was not really about AI tools.
It was about retail adaptability.
The companies that won ecommerce adapted faster.
The companies that won mobile adapted faster.
And now the companies that win AI will likely do the same.
Not because they perfectly predict the future.
But because they build organizations capable of learning, testing, and evolving faster than everyone else around them.
The Bottom Line
AI is not replacing the fundamentals of retail.
It is redefining how those fundamentals get executed.
Customer understanding.
Associate enablement.
Operational excellence.
Speed of learning.
Ability to adapt.
Those are still the competitive advantages.
The technology just raises the stakes.
And according to Brian Tilzer, the retailers that recognize AI as the industry’s third major technology wave — rather than simply another tool layered into the stack — will be the ones best positioned to lead what comes next.
To catch more conversations from the World Retail Congress 2026 in Berlin, follow Omni Talk Retail on LinkedIn or listen wherever you get your podcasts.
Thank you to Vusion for supporting Omni Talk Retail’s live coverage throughout the event, and thank you to our listeners for following along all week.
Be careful out there,
Chris Walton and the Omni Talk team
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Omni Talk® is the retail blog for retailers, written by retailers. Chris Walton founded Omni Talk® in 2017 and have quickly turned it into one of the fastest growing blogs in retail.