Why Are AI Agents About to Start Buying Things for Your Customers, and How Should Business Owners Prepare for Agentic Commerce?

Your next customer might never visit your website.

Their AI agent will.

It will scan your product data, compare your pricing against four competitors, check your return policy, verify your reviews, and either place the order or move on. All in about 12 seconds. Without ever loading your homepage.

This is called agentic commerce, and Forrester just named it the number one emerging technology for 2026.

Not number three. Not "one to watch." Number one.

Here is what business owners need to understand right now.

What Is Agentic Commerce and Why Is Everyone Talking About It?

Agentic commerce is shopping powered by AI agents that act on behalf of consumers. Instead of a person browsing your website, comparing tabs, and checking out manually, an AI agent handles the entire process from discovery to purchase.

McKinsey defines it as "a rethinking of shopping itself in which the boundaries between platforms, services, and experiences give way to an integrated intent-driven flow."

In plain English: your customer tells their AI assistant "I need new running shoes under $150 that work for flat feet" and the agent finds them, compares them, and buys them. No Google search. No scrolling through product pages. No cart abandonment.

This is not a prediction for 2030. It is already happening.

Salesforce reported that during Cyber Week, AI-driven interactions influenced approximately $67 billion in global online sales, representing roughly 20% of total digital orders. Half of all consumers now use AI when searching the internet.

OpenAI already launched an Agentic Commerce Protocol with Stripe that allows users to complete purchases inside ChatGPT without leaving the chat. Shopify is building agentic shopping infrastructure. Amazon, Google, PayPal, and Mastercard are all developing agentic shopping services.

The infrastructure is being built right now. The question is whether your business is ready to plug into it.

How Big Is the Agentic Commerce Market Going to Be?

The numbers are staggering.

McKinsey projects that by 2030, the US B2C retail market alone could see up to $1 trillion in revenue orchestrated through agentic commerce. Globally, projections reach $3 trillion to $5 trillion.

And that only includes goods. Services are not yet counted.

Forrester's April 15, 2026 report, "The Top 10 Emerging Technologies in 2026," puts agentic commerce in the near-term impact category. They predict that businesses will see ROI in their own apps and websites first, where brands can use AI agents and personalization to reduce friction and increase sales.

J.P. Morgan's payments division confirms the shift is real, noting that "as consumer usage of AI agents has grown, customers have increasingly asked AI shopping questions instead of search engines."

This is where things get serious for business owners.

If your customers start using AI agents to buy, and your business is not set up for AI agents to find, evaluate, and purchase from, you are invisible. Not just harder to find. Invisible.

What Is the Agent-Ready Business Framework?

I call this The Agent-Ready Business, and it is the most important framework for any business owner selling products or services online in 2026.

Here is the concept.

There are three layers to how AI agents interact with businesses:

Layer 1: Agent to Site. The AI agent visits your website, reads your product data, and makes a purchase like a very fast, very efficient human shopper. This is where most agentic commerce is today.

Layer 2: Agent to Agent. Your business has its own AI agent that communicates directly with the customer's AI agent. They negotiate, confirm details, and execute transactions autonomously.

Layer 3: Brokered Agent to Site. An intermediary platform, like a future version of Amazon or Shopify, connects customer agents with merchant agents through standardized protocols.

Most businesses are not even ready for Layer 1.

The Agent-Ready Business framework says you need to get three things right:

1. Structured data, not just pretty pages. AI agents do not care about your brand colors or your hero image. They read structured data: product names, prices, specifications, availability, shipping costs, return policies. If that data is buried in images or unstructured text, the agent cannot read it and will skip you.

2. Real-time APIs, not static catalogs. An AI agent checking your inventory needs a live answer, not a catalog that was updated last Tuesday. Businesses that expose real-time pricing and availability through APIs will win the agentic commerce era.

3. Frictionless checkout, not forms. If completing a purchase on your site requires filling out 14 form fields and creating an account, an AI agent will find a competitor where it can buy in two steps.

The business owners who prepare for these three layers now will capture an outsized share of the $1 trillion agentic commerce market. The ones who do not will watch their competitors get the sale every time.

How Is This Already Changing How Software Companies Charge Business Owners?

This shift is so real that even the software companies are changing their pricing models around it.

HubSpot announced on April 2 that starting April 14, their Breeze AI agents move to outcome-based pricing. Instead of paying a flat monthly fee, you now pay $0.50 per resolved customer conversation and $1.00 per qualified lead.

Read that again. You only pay when the AI actually does its job.

SaaStr's analysis shows this is not an isolated move. Intercom charges $0.99 per resolution. Zendesk charges $1.50 to $2.00 per resolution. Sierra has built over $150 million in annual revenue on pure outcome-based pricing.

The entire SaaS pricing model is shifting from "pay for access" to "pay for results."

For business owners, this changes the math completely. Instead of paying $500 per month for a customer service tool and hoping it works, you pay $0.50 every time it actually resolves a customer issue. If it resolves 200 conversations per month, that is $100. If it resolves 1,000, that is $500. But every dollar is tied to a measurable outcome.

This is what happens when AI agents get good enough to guarantee results. The companies selling them have enough confidence to bet their revenue on performance.

What Should Business Owners Do This Week to Prepare?

Here is a practical action plan.

Step 1: Audit your product data. Go to your website right now. Can an AI agent read your product names, prices, descriptions, and availability without looking at images or navigating JavaScript-heavy pages? If the answer is no, you have work to do. Start with structured data markup, also called schema.org markup, on every product and service page.

Step 2: Check your checkout friction. Try to buy something from your own site as if you were a robot. How many steps does it take? Can a purchase be completed without creating an account? Is guest checkout available? Every extra step is a point where an AI agent will drop off and go to your competitor.

Step 3: Evaluate outcome-based AI tools. If you are still paying flat monthly fees for customer service or lead generation tools, look at the new pricing models. HubSpot's Breeze at $0.50 per resolution, Intercom's Fin at $0.99 per resolution, or Sierra's platform are all options where you only pay when the AI delivers a result.

Step 4: Start thinking about APIs. If you sell physical products, your inventory system needs to be queryable in real time. If you sell services, your availability and pricing need to be accessible programmatically. This does not require a massive tech overhaul. Even simple product feed integrations with Shopify, WooCommerce, or Google Merchant Center give AI agents structured data to work with.

If you want help building an agentic commerce strategy for your specific business, we do complimentary AI Implementation Sessions where we map out exactly what needs to change and in what order. Book a time here.

What Mistakes Should Business Owners Avoid With Agentic Commerce?

Mistake 1: Assuming this only affects e-commerce. Agentic commerce is not just about physical products. Service businesses, B2B companies, consultants, and agencies will all be affected. An AI agent booking a photographer, hiring a contractor, or selecting a marketing agency will use the same evaluation logic: structured data, availability, pricing, reviews.

Mistake 2: Optimizing only for human visitors. Most businesses spend thousands on website design, brand aesthetics, and user experience for human browsers. Almost none spend anything on making their data machine-readable. In the agentic era, both matter.

Mistake 3: Ignoring the SEO connection. If Google AI Overviews are already reducing your organic traffic (which we covered this week), agentic commerce accelerates that trend. The businesses that show up in AI-mediated shopping are the ones with clean, structured, real-time data. Traditional SEO is still important, but it is no longer sufficient.

Mistake 4: Waiting for a standard to emerge. OpenAI has its Agentic Commerce Protocol. Shopify is building its own infrastructure. Amazon and Google are building theirs. There will not be one standard. The business owners who start preparing their data and systems now will be ready for all of them.

FAQ

Q: When will AI agents start buying things for consumers at scale? A: They already are. Salesforce reported that AI-driven interactions influenced $67 billion in sales during Cyber Week alone. OpenAI's ChatGPT already supports in-chat purchases through its Agentic Commerce Protocol with Stripe. Scale adoption is expected to accelerate through 2026 and 2027 as more platforms enable agent-to-merchant integrations.

Q: How much will agentic commerce be worth by 2030? A: McKinsey projects up to $1 trillion in US B2C retail revenue orchestrated through agentic commerce by 2030, with global projections reaching $3 trillion to $5 trillion. These figures cover goods only and do not include services or B2B transactions.

Q: What is outcome-based AI pricing and who offers it? A: Outcome-based pricing means you only pay when the AI completes a defined task. HubSpot charges $0.50 per resolved conversation and $1 per qualified lead. Intercom charges $0.99 per resolution. Zendesk charges $1.50 to $2.00 per resolution. Sierra has built $150 million in ARR on pure outcome pricing. The model is spreading across the SaaS industry.

Q: Do I need to build an API for my business to participate in agentic commerce? A: Not immediately. Start with structured data markup on your website, clean product feeds through platforms like Shopify or Google Merchant Center, and frictionless checkout. Full API access becomes important as you move from Layer 1 (agent visiting your site) to Layer 2 (agent-to-agent commerce) of The Agent-Ready Business framework.

Q: Will agentic commerce replace traditional online shopping? A: Not entirely, but it will handle an increasing share. McKinsey notes that the shift will be gradual, with agents first taking over high-friction tasks like price comparison, review validation, and return policy scanning. Over time, more of the purchase journey will be delegated to AI agents, especially for repeat purchases, commodity goods, and complex multi-vendor transactions.

TL;DR

• Forrester named agentic commerce the number one emerging technology for 2026, where AI agents buy, book, and transact on behalf of consumers
• McKinsey projects the US B2C agentic commerce market at up to $1 trillion by 2030, with global projections reaching $3 to $5 trillion
• AI-driven interactions already influenced $67 billion in sales during Cyber Week, and half of all consumers now use AI for online searching
• OpenAI, Shopify, Amazon, Google, PayPal, and Mastercard are all building agentic commerce infrastructure right now
• HubSpot shifted to outcome-based pricing ($0.50 per resolved conversation), joining Intercom, Zendesk, and Sierra in the "pay when it works" model
• The Agent-Ready Business framework: prepare structured data, real-time APIs, and frictionless checkout so AI agents can find, evaluate, and buy from your business
• Business owners who make their data machine-readable now will capture outsized share of this market; those who do not will be invisible to AI-mediated buyers