I'm going to be in Chicago on April 30 for CommerceLive, where I'll be unpacking what I believe is the most consequential shift in the history of commerce.
Not AI as a tool. Not AI as a recommendation engine. Not AI as a smarter search bar.
AI as the buyer itself.
This is the conversation I had recently with Travis Hess, CEO of Commerce, on the Keeping Commerce Weird podcast. And the more we dug into it, the clearer it became: most brands and retailers are still preparing for a future that has already arrived.
Your Customer Isn't Clicking Anymore. They're Delegating.
Here's the shift. For the past two decades, commerce has worked like this: a human gets curious, searches, browses, compares, adds to cart, enters their details, and clicks buy. Every part of that journey assumed a human at the wheel.
That assumption is now obsolete.
45% of consumers already use AI for at least part of their buying journey, according to IBM's Institute for Business Value survey of more than 18,000 consumers across 23 countries. The interface isn't a website anymore. It's a conversation. Discovery isn't search. It's an answer. And your customer isn't clicking. They're delegating.
They're telling their AI agent what they need, within what budget, with what preferences, by when — and the agent is handling everything else. Research. Comparison. Checkout. Payment. Confirmation.
The buyers AI sends you are better buyers. AI traffic to US retail sites grew 393% year on year in Q1 2026, and by March 2026, AI-referred shoppers were converting 42% better than traffic from any other channel — a new record high. Those shoppers also spend 48% longer on site and browse 13% more pages per visit.
More intentional. More ready. Because the decision was essentially made before they arrived.
The question is whether they can find you at all.
The Invisibility Problem Most Brands Haven't Registered Yet
Here's what Travis Hess said on the podcast that stopped me cold: your Google rankings are holding, your conversion rate is solid, but your organic traffic is quietly declining month over month and your attribution data isn't giving you a clear answer.
Gartner predicts traditional search engine volume will drop 25% by 2026 as buyers shift to AI answer engines. The data suggests that prediction was conservative. The traffic hasn't disappeared. It has moved.
The mechanism is simple. When an AI agent is shopping on behalf of a consumer, it doesn't open a browser tab and start scrolling. It queries structured data, reads product attributes, checks real-time inventory, validates shipping promises, and makes a recommendation. If your data layer can't answer those questions cleanly, accurately, and instantly, the agent moves on.
As Sven Gerjets, Chief Technology Officer at Gap Inc., put it at Shoptalk 2026: "Brands need to show up not just in search engines, but in answer engines. That means structured, AI-ready data that can travel across platforms."
It's not just content anymore. It's context. And if the context isn't there, you're invisible. Not deprioritised. Not ranked lower. Invisible.
This is something I've been tracking closely in my writing on the new Moore's Law for agentic AI — the pace of capability improvement means that what feels like a future concern today becomes table stakes tomorrow, faster than most organisations have historically been able to adapt.
The Futurist's Frame: We May Have Invented the Last Thing We'll Ever Need to Invent
When Travis asked me where commerce is headed in three to five years, I gave him the honest answer I give every leadership audience.
We may have invented the last thing we'll ever need to invent.
Artificial intelligence is now capable of inventing for us. That doesn't mean human creativity is finished — we'll still start microbreweries, design retreats, build communities, and create experiences that only make sense when you're physically present. But in terms of the technological force that will shape the next decade of commerce, AI is it. Not what comes after AI. AI, compounding.
Gartner predicts AI agents will command $15 trillion in B2B purchases by 2028. Morgan Stanley predicts nearly half of all online shoppers will use AI shopping agents by 2030, accounting for around 25% of their spending. McKinsey projects agentic commerce could redirect $3 to $5 trillion in global retail spend by 2030.
These are not futurist projections. They are trajectory data. The curve has already bent.
Trust Is the New Competitive Advantage
Here's where I want to push back on pure technical thinking, because the data layer and the brand story are not separate problems. They're the same problem.
The best definition of trust I've ever come across is this: a confident relationship with the unknown. And that's exactly what every consumer is being asked to develop right now. Not just trusting a brand with their credit card — they've done that for years. Now they're being asked to trust an AI agent with their credit card, and trust that the agent will find brands worthy of it.
In March 2026, Banco Santander and Mastercard completed Europe's first live end-to-end payment executed by an AI agent within a regulated banking framework. The AI agent initiated, authorised, and completed a real financial transaction autonomously, within predefined spending limits. Every person and every organisation will soon have an autonomous AI procurement officer. The question is not whether this is coming. It's whether your brand will be findable, trustworthy, and selectable when it does.
A March 2026 survey found that most AI assistant shoppers, after receiving an AI product recommendation, still go and do their own research to validate the purchasing decision. Data gets you discovered. Story gets you chosen.
The brands that win the agentic era are not just the ones with the cleanest product feeds. They're the ones with the most compelling human narrative sitting behind the data. And as I've written on the culture barrier to AI adoption, the organisations that understand this as a human challenge, not just a technical one, are consistently ahead.
The Digilogue Dimension: Why Human Storytelling Matters More Than Ever
If you've heard me speak or read my work, you'll know that Digilogue — the balance between digital efficiency and irreplaceable analogue human experience — sits at the heart of how I think about the future of business.
Agentic commerce doesn't eliminate the need for great brand storytelling. It raises the stakes for it.
Your AI agent might complete the transaction. But the human who set the agent's parameters — their values, their ethics, their preferences, their trusted brands — made the real decision before the agent took a single action. Brand loyalty is now being embedded upstream, into the parameters a person gives their AI before the shopping journey even begins.
If your brand isn't in someone's parameter set, you're not in the consideration set. And you get into that parameter set through trust, through story, through community, through the kind of human experience that no AI can generate on your behalf.
As I explored when ChatGPT hired a human to solve a CAPTCHA — and when AI agents began hiring humans at scale through platforms like RentAHuman.ai — the human element doesn't disappear in an agentic world. It moves upstream. It becomes the foundation everything else runs on.
What Commerce Leaders Need to Do Right Now
The good news is that this is not a problem for 2027. The steps are clear and the window to act is now.
Get the data layer right. Clean, structured, real-time product data is the foundation of everything that follows. Accurate inventory. Consistent pricing across channels. If an AI agent queries your product and gets a mismatch between your storefront price and your feed, it moves on. No second chances.
Think in answer engines, not just search engines. SEO got you to the first page of Google. Answer Engine Optimisation — AEO — gets you into the AI's response. These require different approaches: structured FAQ content, direct answers to specific intent queries, and data that speaks to machines before it speaks to humans.
Optimise for agent-mediated discovery. Ensure your products are discoverable across multiple AI platforms — ChatGPT, Google Gemini, Perplexity, Microsoft Copilot — without building separate integrations for each. The open protocol standards emerging in 2026 are the infrastructure to understand and adopt.
Don't abandon human storytelling. The 1% rule applies here too — small, consistent investments in brand story and community compound into the kind of trust that makes your brand appear in someone's AI agent parameters. That compounding starts now.
Pick the right platform partners. Not all commerce infrastructure is built for the agentic era. The platforms that make it easy to surface structured data across multiple agent protocols are the ones worth investing in now.
Frequently Asked Questions About Agentic Commerce
What is agentic commerce?
Agentic commerce is a model of online shopping where AI agents don't just recommend products but complete the entire purchase on behalf of a consumer — including research, comparison, checkout, and payment. The consumer sets parameters such as budget, brand preferences, and ethical considerations, and the agent handles everything else. Google's definition: "Agentic commerce is where AI doesn't just suggest products, but actually helps complete the task of checking out." It represents the most fundamental shift in how commerce works since the invention of the online shopping cart.
How is agentic commerce different from traditional ecommerce?
In traditional ecommerce, the human is the buyer at every stage: search, browse, compare, cart, pay. In agentic commerce, the human sets the parameters and the AI executes. The interface isn't a website — it's a conversation. Discovery isn't a search engine — it's an answer engine. The purchasing decision is often made before the consumer opens a browser tab.
How large is the agentic commerce market?
McKinsey projects agentic commerce could redirect $3 to $5 trillion in global retail spend by 2030. Gartner predicts AI agents will command $15 trillion in B2B purchases by 2028. During the 2025 holiday season, AI already drove 20% of all retail sales globally, generating $262 billion in revenue.
Why is my organic traffic declining if my rankings are holding?
Because your buyers are no longer arriving through search. AI-driven traffic to US retail sites grew 393% year on year in Q1 2026. Buyers are querying AI agents, which surface products based on structured data quality and brand authority — not search rankings. Your SEO may be intact while your AI discoverability is near zero. Gartner predicts traditional search engine volume will drop 25% by 2026.
What is Answer Engine Optimisation (AEO) and how is it different from SEO?
SEO optimises your content and site structure to rank in traditional search engines like Google. AEO optimises your content, product data, and brand presence to appear in AI-generated answers from platforms like ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot. Where SEO targets crawlers, AEO targets language models. Both matter now. Within five years, AEO will matter more.
What does "if your data isn't optimised for AI agents you're invisible" actually mean in practice?
When an AI agent shops on behalf of a consumer, it reads structured data fields: product name, description, price, availability, shipping time, ratings, attributes. If those fields are incomplete, inaccurate, or not formatted in schema that agents can parse, the agent skips your product entirely. It doesn't rank you lower. It doesn't hedge. It simply does not include you in the recommendation. That's the invisibility problem — and it is already happening to brands who don't know it yet.
How does brand trust work in an agentic commerce world?
AI agents narrow the consideration set based on data. But humans still validate purchases based on trust, and — more importantly — humans embed their trusted brands into their AI agent's parameters before the shopping journey begins. The best definition of trust is a confident relationship with the unknown. Data gets you discovered. Story gets you chosen. Both are essential, and neither replaces the other.
What is Anders Sorman-Nilsson speaking about at CommerceLive Chicago?
Anders is delivering a keynote at CommerceLive in Chicago on April 30 at 9:15am, going deep on what agentic commerce looks like in practice — and what commerce leaders need to do right now to stay competitive without overreacting. Register here.
How do I book Anders Sorman-Nilsson as a keynote speaker on AI and the future of commerce?
Anders speaks on agentic AI, the future of commerce, Digilogue, and digital transformation for leadership teams, conference audiences, and corporate offsites globally. To discuss your event and check availability, contact Thinque at anders@thinque.com or via the enquiry form at anderssorman-nilsson.com.
The brands that will thrive in the agentic era are not the ones waiting to see how this plays out. They're the ones making the infrastructure decisions now, while their competitors are still debating whether agentic commerce is real.
I'll be unpacking all of this live at CommerceLive in Chicago on April 30. If you're serious about staying ahead of where commerce is going, I'd love to see you in the room.