If you've attended any ecommerce conference lately, or honestly, just scrolled LinkedIn, you've probably noticed that agentic shopping is everywhere. It's the topic dominating keynotes, roundtables, and think pieces across the industry.
And for good reason. The idea that AI could soon handle the entire shopping journey on a consumer's behalf is genuinely exciting (and, yes, a little daunting).
But here's the question worth asking: Does the buzz match what's actually happening on the ground?
The numbers tell an interesting story. Sixty-four percent of shoppers already use AI-powered tools to discover or research new products, and 54% use chatbots like ChatGPT to help them decide what to buy. But using AI to research a purchase is a long way from handing your entire shopping list over to an autonomous agent.
So will agentic commerce eventually replace traditional ecommerce? Or is something more nuanced unfolding?
Agentic commerce is an evolution of ecommerce powered by semi- or fully autonomous AI systems that can make decisions and take action on their own. Unlike traditional AI that simply recommends, agentic systems can actually execute, including restocking inventory, personalizing offers, triggering workflows, and making purchasing decisions based on consumer preferences and contextual data.
That last part is the key distinction. We've had recommendation engines for years. What makes agentic AI different is that it doesn't just suggest, it does. As Steve Engelbrecht, CEO of Sitation, put it at the 2025 Digital Shelf Summit (DSS): "The difference of what agentic means is that it starts to take on an ability to do real work."
Rob Gonzalez, Salsify co-founder and chief strategy and innovation officer, frames it through the lens of shopping history. After the in-store shelf era and the ecommerce search era, we've now entered a phase where consumers can discover, compare, and even complete purchases entirely within a chat, which is a fundamentally new experience.
Previous innovations like social commerce or live shopping were really just new flavors of ecommerce. AI shopping is structurally different because the entire experience of finding and selecting a product has changed.
We're already seeing early versions of this in the wild. Amazon's Rufus can answer shoppers' questions and guide them toward purchase. Walmart's Sparky scours reviews and surfaces product insights on demand. Amazon Alexa can reorder your household staples with a voice command.
The reason agentic shopping has taken over the conversation is that the data backing it up is hard to ignore.
Digital Commerce 360 reports a 4,700% year-over-year increase in AI-driven visits to ecommerce sites, with AI-referred shoppers showing 10% higher engagement and a 27% lower bounce rate than non-AI visitors.
Consumer interest is following a similar trajectory, though it's not entirely uniform across generations. The majority of Gen Zers (75%), millennials (75%), and Gen Xers (60%) have some level of interest in AI shopping agents, though most baby boomers (62%) aren’t interested, according to Salsify’s “2026 Consumer Research” report.
So, while it would be a mistake to declare this a universal shift, it's clearly not a niche one either. The consumers who will be driving the majority of ecommerce growth over the next decade are largely on board.
This is probably because the motivations are pretty intuitive when you think about how people actually shop. The biggest drivers of interest in agentic commerce are time savings, convenience, and easier decision-making, according to Salsify research.
Shoppers like the idea of offloading tedious research or repeat purchases. Nobody wants to spend 45 minutes comparing luggage specs, so if an AI can reliably do that groundwork reliably, a lot of people are happy to let it.
Lauren Livak Gilbert, executive director of the Digital Shelf Institute (DSI), captured the broader vision well: "Whether they're picking and recommending products or getting to know your preferences, it's painting a picture of what a world with an AI assistant in your pocket could look like."
The momentum is real. But momentum toward what, exactly? That's where it gets more interesting.
Let’s get into the big question.
The AI maximalist argument isn't without merit. Agentic systems are capable of executing end-to-end purchases, they're learning at a remarkable pace, and the adoption curves among younger shoppers are steep.
If you squint at the trajectory, it's not hard to imagine a world where a significant chunk of commerce flows through autonomous agents. There is a genuine belief amongst AI maximalists that agentic commerce will somehow take over all other forms of commerce.
It's a compelling vision. But experts who are closest to the data think it's missing something important.
Gonzalez's pushback starts with a simple observation about human behavior. Shoppers are omnichannel, not single-channel. They switch between modes of purchase depending on their needs, shopping in-store for some things, online for others, searching online and buying in-store, seeing something on social media, and buying from a Shopify site. It's fluid.
He also points out that not all purchases are created equal. Delegating a routine household restock to an AI ecommerce agent is a very different ask from trusting it to choose a birthday gift, a piece of furniture, or a new laptop. The impact of agentic AI will likely vary significantly by product category. It’s likely to be high for replenishment, lower for emotionally driven or considered purchases.
For Gonzalez, this is an AND, not an OR situation. Brands will have to do everything they do today AND start creating and organizing contextual relevance data for the agentic layer.
There's also a consumer psychology problem that’s not going to disappear overnight. The biggest barriers to agentic commerce adoption are a lack of trust, a lack of human involvement, and fear of losing control.
The numbers back that up: Just 14% of shoppers currently trust AI recommendations alone to drive a purchase decision, according to Salsify research. That's a significant gap between interest and readiness, and it means traditional ecommerce isn't going anywhere anytime soon.
Perhaps the most underappreciated barrier is one that lives behind the scenes. Gonzalez's core argument is that the bottleneck isn't the AI, it's the product data feeding it. Traditional ecommerce platforms relied on standardized product feeds and online storefronts, but AI systems require new data types that go beyond existing requirements.
Agentic systems are asking for fields like "Intended Purpose / Role" and "Event Context / Use Case", aka unstructured text about a product's contextual relevance in the world, and data that most brands simply don't have organized and ready to go. Until that foundation is built, even the most sophisticated AI agent is working with incomplete information.
So if it's not a takeover, what does the future actually look like?
Think of it as a layered world, where agentic and traditional ecommerce don't replace each other, but reinforce each other. People still shop through traditional ecommerce far more than through AI, and it will continue to pay to do traditional ecommerce well. At the same time, AI agents scrape existing product detail pages for data (so getting those right helps you win in both worlds).
Gonzalez is refreshingly measured on the timeline. The world moves slowly, the gross dollars from AI are small, and there aren't any clear early-mover advantages to be had right now. That's not a reason to ignore agentic commerce. It's a reason to invest in it thoughtfully rather than reactively.
Engelbrecht echoes this: Agentic capability isn't arriving in a single dramatic moment. It's accumulating gradually, as trust builds and the technology matures.
In practice, the coexistence looks something like this: A shopper asks an AI agent to find the best running shoes under $150 for wide feet. The agent surfaces a shortlist. The shopper clicks through to a product detail page to read reviews, check images, and confirm it feels right, then either completes the checkout themselves or, increasingly, lets the agent finish the job.
Predictions are useful, but what really matters is what you do with them. Here's where to focus your energy.
Let's come back to the original question: Will agentic shopping fully overtake ecommerce?
Based on everything the experts tell us, probably not. At least not in the way the maximalists imagine — what's actually happening is more interesting. Agentic commerce is becoming a new layer on top of traditional ecommerce rather than a replacement for it. The two will coexist, and increasingly, they'll feed each other.
The brands that come out ahead won't be the ones that pivoted entirely to AI and abandoned what was already working. They'll be the ones who recognized that the foundations of great ecommerce (complete product data, rich content, accurate PDPs, genuine customer trust) are the same foundations that make you visible and competitive in an agentic world.