AI Agents: Should Amazon and Uber Block Them?

Lisa Chang
6 Min Read

Navigating a busy online marketplace feels familiar. You open an app, tap through categories, compare prices, and hope you find what you need. This is the world that giants like Amazon, Uber, and DoorDash built and dominate. Yet a new kind of helper is knocking on their digital doors, and many are deciding not to answer. A recent analysis from Bernstein suggests these companies have valid reasons to block these newcomers, for now. The newcomers are external AI shopping agents, and they represent a profound shift in how we might interact with the web.

Picture this instead. You tell an AI assistant you need a specific birthday gift, dinner for six, and a ride to the party. In one conversation, it cross-references inventory from dozens of stores, books the restaurant, and schedules your car, all without you ever opening another app. This is the promise of AI agents. They threaten to become the ultimate middleman, sitting between you and the platforms you use today. For a company like Amazon, whose entire model is built on being the destination for everything, this is an existential challenge. It is little wonder they have moved to restrict these external agents, prioritizing their own Alexa ecosystem instead. As Bernstein notes, dominant aggregators have zero incentive to speed up a rival’s technology while they develop their own.

This resistance is not just about competition. It is about risk and control. Financial institutions like JPMorgan and Charles Schwab have blocked third-party AI agents over serious liability concerns. Letting an external AI manage your finances or execute trades introduces a maze of accountability issues the banks are not ready to navigate. The hesitation makes sense. The success of any consumer AI will hinge on three critical factors:

  • Interoperability
  • Reliability
  • Ability to finalize a transaction smoothly
  • User experience
  • Security
  • Consumer trust

Yet evidence is mounting that consumers are ready for this shift when it works. Meta’s Muse AI assistant offers a compelling early case. According to the Bernstein report, it reached 2.5 million daily active users in North America in just six weeks. Perhaps more telling, a quarter of its weekly users experimented with letting the AI handle shopping. The average purchase amount exceeded two hundred dollars, including complex bookings like travel. Muse did not build this experience alone. It partnered with major players like Walmart, Shopify, Instacart, and Expedia. This collaboration is key. It shows a path where AI agents act as a new front-end, while established companies provide the inventory and logistics.

This partnership model reveals a likely split in how the market will evolve. For smaller competitors or those hungry for more market share, teaming up with a powerful AI agent could be a strategic masterstroke. It offers them a direct channel to customers who might otherwise default to the largest platform. For the dominant giants, however, the calculation is different. Every transaction mediated by an external AI dilutes their direct relationship with the customer. They risk becoming mere utilities, powerful backends that lack brand presence and customer loyalty. A company like Amazon has a massive advantage here. Its exclusive inventory, unparalleled logistics network, and deep customer trust give it more room to maneuver. It can afford to develop its own AI experience on its own timeline.

The current stance of blocking agents is a holding pattern. It allows these platforms time to assess real consumer adoption and negotiate from a position of strength. But as Bernstein points out, this strategy has a shelf life. If a significant portion of consumers begins to prefer transacting through independent AI agents, the walls these companies are building will become unsustainable. You will gravitate toward whatever tool saves you the most time and delivers the best result. The platforms know this. Their long-term play is not simply to block. It is to build or buy the AI assistant you choose to use, ensuring they remain at the center of your digital life.

The battle will not be won by technology alone. It will be decided by behavior. Will you trust an independent AI to shop across the entire web for you, or will you prefer the integrated, but potentially more limited, assistant built by your favorite store? The answer to that question will reshape online commerce more than any single algorithm. For now, the gates are closed. But the conversation with the AI on the other side is just beginning.

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Lisa is a tech journalist based in San Francisco. A graduate of Stanford with a degree in Computer Science, Lisa began her career at a Silicon Valley startup before moving into journalism. She focuses on emerging technologies like AI, blockchain, and AR/VR, making them accessible to a broad audience.
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