Why Is Amazon Turning Away Customers Who Are Ready to Buy?

One question that predicts every company's AI agent strategy

Imagine you are a product manager at Amazon.

Meta has just launched Muse, a personal AI shopping agent. You tell it what you need, and it browses, compares and buys for you once you approve. This is agentic commerce, and people are actually using it.

Then your team ships a popup that blocks Muse from shopping on Amazon.

Why would the most customer-obsessed company in the world turn away a customer who is ready to pay?

Amazon’s stated reasons are permission and safety. Meta never asked, Muse doesn’t identify itself, and it appears to store login details. Fair points, but they don’t explain the whole decision.

The real answer shows up when you sit in four chairs, one by one.

Chair 1: Amazon, and why AI agents hurt its ad business

It’s Monday. Your VP opens two dashboards.

Sales looks great. Muse orders convert fast, with almost no drop-off. Ads looks empty. Not one sponsored product was seen on those orders.

Guess which dashboard your VP keeps staring at.

Here’s the concept that explains it.

A shopping page is not a shelf; it’s a negotiation. Every slot is ranked for many goals at once: what you want, which brand paid, what has better margin, what stock needs to clear.

Teams call this multi-objective ranking. An AI agent ends that negotiation, because the page works for the store but the agent works for the buyer.

And for Amazon, that negotiation is the business. Its ad revenue is now roughly double the profit of its entire stores business. Ads are not side income anymore; they quietly fund the store.

So when an agent skips the page, it skips the part that pays the bills. Blocking Muse is the rational call.

But watch what Amazon does elsewhere. Its own agent, Buy for Me, shops on other brands’ websites, and brands had to email Amazon to opt out. It’s also piloting ads inside ChatGPT through its own ad platform.

So Amazon is not against AI agents. It’s against AI agents it can’t charge.

Chair 2: Walmart, and the AI shopping stat everyone misread

When Walmart sold inside ChatGPT, purchases made in the chat converted at about a third of the rate of shoppers who clicked through to Walmart.com.

Most people read that and said, see, AI shopping agents don’t work.

Sit in Walmart’s chair and ask the boring PM question first. Compared to what?

Both groups came from ChatGPT. So this was never agents versus humans. It was checkout inside a chatbot versus checkout on Walmart’s own site.

Walmart’s team blamed the product, not the idea. Instant Checkout bought one item at a time, so people worried about getting separate boxes for what should have been one order. That’s a broken cart.

So Walmart did the opposite of Amazon. It opened an Agent Gateway for approved agents like Muse, ChatGPT and Gemini, with spending limits that customers control.

The strategy is simple. Most US shoppers start on Amazon, so when Amazon blocks agents, those agents look elsewhere. For the challenger, the leader’s wall is free distribution.

Chair 3: Shopify, where AI agents are pure upside

This one is simple.

Shopify has no big ads business to protect. It earns when its merchants sell, mostly through payments. So an agent that brings a ready buyer to a small store is only good news.

That’s why Shopify partnered with Muse for checkout with Shop Pay. Shopify doesn’t fight for the page. It fights for the pay button inside the agent.

A note for those of us building in India. UPI is a public rail, and NPCI has already tested agent payments on it. When no one can own the wallet, the fight moves one step up, to who hears the customer first.

Chair 4: Meta, and the awkward truth about AI agents

Before you get angry at Amazon, ask one question.

Would Meta let someone else’s AI agent scroll Instagram for its users and skip every ad?

I doubt it. Instagram makes money because you keep scrolling past ads. Muse does to Amazon exactly what Meta would hate someone doing to Instagram.

Even Muse’s business model gives it away. Meta plans to keep it free for most people and take a fee from businesses on the sales it helps complete.

Amazon does the same with Buy for Me. Everyone loves AI agents on someone else’s website.

So Meta’s smart move is to take away Amazon’s best excuse. With Sierra, it launched the Personal Agent Protocol, backed by Walmart, Shopify, Stripe, Visa, Mastercard and others. Agents identify themselves and never need your password.

It’s still a draft. But this is strategy through standards: when you can’t win the negotiation, change the rules everyone plays by. Once agents are safe by design, a block looks like what it is, protecting ad money.

The sale or scroll test: one question that predicts any AI agent strategy

Put the four chairs side by side, and a pattern appears.

• Amazon earns big on the scroll. It built a wall.

• Walmart has ads too, but it’s the challenger. It built a door.

• Shopify earns on the sale. It opened the house.

• Meta earns on the scroll at home and wants the sale everywhere else.

So for any product, ask one question. Do you make money from the sale or from the scroll?

• Mostly the sale: agents are a new channel. Open up.

• Mostly the scroll: agents are a threat. You will build a wall.

• Both, or you are the challenger: build a door you control.

Tell me how a company makes money, and I’ll tell you its AI agent policy.

How advertising changes when an AI agent does the shopping

Ads won’t die. They will move from the store’s page into the agent’s answer.

That’s why Amazon is selling ads into ChatGPT. It wants to keep selling the slot, even when the slot lives in someone else’s agent. The real fight was never about who sells the diapers; it’s about who sells the sponsored slot above them.

But there’s a catch. An agent is only useful if you trust it works for you, and every paid result it shows spends a little of that trust.

So ads aimed at agents can’t sell a mood with a nice photo. They will have to win on the facts an agent checks: price, delivery date, return policy and reviews.

What product managers should do about AI shopping agents

Start by running the sale or scroll test on your own product. Then:

• Find the metrics that depend on a human scrolling, like ad impressions, carousel clicks and attach rate. Agents break these first, so start tracking how often agents shortlist you instead.

• Make your catalogue readable by machines. Price, stock, delivery date and returns should be clean data, not text inside a banner.

• Turn cross-sell into something an agent can ask for. It will never see your carousel, but it can ask what goes with this.

• Track agent orders separately, and always ask compared to what before you judge them.

• Pick wall, door or open house on purpose. Don’t let a default setting decide your strategy.

What happens next

• For now, Amazon will definitely keep the wall, and Muse grows on Walmart and Shopify stores.

• Then Amazon opens a paid door. Approved agents get in, and brands pay to rank inside it.

• The real loser is the store with neither Amazon’s delivery nor a door. Agents will simply skip it.

Reading a business model, questioning a metric, designing for an agent instead of a screen. That’s the AI PM job now, and it’s what we practise every week.

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Which of these four chairs would you least want to sit in right now? Tell me in the comments.

About Author

Shailesh Sharma! I help PMs and business leaders excel in Product, Strategy, and AI using First Principles Thinking.

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