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The real risk of AI commerce? Reducing shopping to a transaction

Megan Carrigan
VP, Executive Director of Strategy, Valtech

juni 05, 2026

AI is rapidly reshaping commerce. But in the race toward automation, brands risk optimizing away what makes shopping meaningful.

Nearly every conversation about AI and shopping right now revolves around the same goals: faster decisions, fewer clicks, more automation. Underneath all this is an assumption that the best shopping experience is the one that requires the least participation from the customer.

But that goes against what many of us understand “shopping” to mean.

People do not just shop to complete a task. They shop to discover taste. To refine preferences. To imagine who they want to become. Shopping is very participatory and brands mustn’t lose sight of this as they build out their AI commerce capabilities.

The real risk of AI commerce isn't losing control of the buying journey. It's flattening that journey into a purely transactional moment, when shopping itself is often about discovery, exploration and decision-making long before the purchase ever happens.

The race toward frictionless commerce

Answer engines summarize products before customers ever reach a brand site. AI shopping agents compare options instantly. These platforms are disrupting journeys and changing behaviors towards zero-click commerce models where discovery, evaluation and purchase happen without much direct interaction with the brand itself.

For retailers and ecommerce leaders, this has triggered understandable anxiety. Traffic is declining. GEO and AEO have become boardroom conversations almost overnight.

Everyone is asking the same question: “How do we show up in AI answers?”

But focusing only on visibility misses what consumers often still want from shopping: the experience of discovering something new, exploring possibilities and even changing their mind along the way.

AI and shopping are not always transactional

AI systems are exceptionally good at reducing friction, compressing decisions and optimizing for efficiency.

And for some categories, efficiency absolutely wins. Reordering paper towels. Replacing coffee filters. Buying the same pet food every month. Most people are happy to automate those decisions away.

But the industry is increasingly applying that logic to all commerce. That’s where things become more complicated.

Insight

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Many purchases are not exercises in efficiency. They are emotional, exploratory and tied to identity.

Beauty. Fashion. Luxury. Wellness. Travel. Home.

These are categories where people are not always looking for the fastest answer. Often, they are looking for reassurance, inspiration, perspective or even a better understanding of themselves.

People do not just shop to complete a task. They shop to discover taste. To refine preferences. To imagine who they want to become.

That process is rarely linear.

It involves exploration, uncertainty, experimentation and sometimes contradiction. We browse without knowing exactly what we want. We change our minds. We seek validation. We look for guidance from brands, creators, experts and increasingly from each other.

Yet much of the current AI-commerce conversation assumes the ideal experience is one where all of that complexity disappears.

An AI system predicts what we want based solely on past behavior. Filters the options. Removes friction. Compresses the path to purchase. Decision made.

Efficient? Absolutely.

But complete? Not always.

The danger of over-optimization

As more commerce experiences become AI-mediated, there’s a risk that optimization starts flattening the very things that make brands meaningful in the first place.

Discovery narrows. Recommendations converge. Experiences become increasingly predictive, utility-driven and interchangeable.

The internet already trained brands to optimize aggressively around conversion. AI threatens to accelerate that instinct even further.

But if every experience becomes purely predictive and consensus-driven, brands risk losing something much more valuable than traffic: their ability to create experiences people actively choose to engage with.

 

AI is changing the role of brand experience

The experiences people continue choosing will likely be the ones that help them think, not just buy.

That changes the role of the brand itself. When AI agents are already surfacing rational comparisons, pros and cons and product recommendations, brands need to become more than information providers. They need to act more like trusted advisors: guiding discovery, expressing a clear point of view and helping shoppers build confidence in their decisions.

For years, digital commerce has largely been designed around friction reduction above all else. Shorter journeys. Faster checkouts. More predictive recommendations. Every unnecessary click removed in pursuit of conversion efficiency.

But in an AI-mediated world, the brands that will matter won’t automate every decision away. They will be the ones that understand when people still want to participate in the shopping experience.

Want to go deeper on what agentic AI means for commerce? Join Forrester Principal Analyst Chuck Gahun and me for our webinar, From Clicks to Agents, to explore how AI commerce is reshaping discovery, decision-making and buying journeys.

Register now

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