TECHNOLOGY • AI • BUSINESS • E-COMMERCE • META
AI Agents · Agentic Commerce · Consumer Spending

Meta's Muse is pushing AI beyond conversation and into transactions, giving consumers an agent that can shop, book travel, send emails and complete tasks on their behalf.

SUMMARY

Meta's Muse is part of a growing shift toward AI agents that can perform actions instead of simply answering questions. By allowing an AI system to shop, compare options, book services and complete transactions, Muse could change the relationship between consumers and businesses that depend on customers making purchases, staying subscribed or remaining loyal to existing services.

For years, one of the most valuable forces in the consumer economy has been something remarkably simple: people often do not have the time or motivation to change what they already use.

Consumers forget to cancel subscriptions, rarely compare every insurance plan, postpone negotiating bills and often purchase from familiar retailers even when cheaper alternatives may exist.

Meta's Muse is entering that environment with a different proposition. Instead of merely telling a user what they could do, the AI agent is designed to carry out parts of the process.

From chatbot to personal agent

Traditional chatbots primarily respond to questions. An agentic system is designed to pursue an objective by taking multiple steps and interacting with digital services.

Meta says Muse can send emails, book travel, fill out forms, shop online and work toward larger goals on behalf of users. It can continue working after a person closes the application and return when an approval or decision is required.

That distinction is important because it moves AI from being primarily an information tool toward becoming an intermediary between people and businesses.

Important fact: Meta launched Muse in September 2026 and says the agent can take actions such as sending emails, booking travel, filling forms and completing purchases with user approval.

Why subscriptions are vulnerable

The subscription economy is particularly interesting because recurring payments often depend on consumers continuing to do nothing.

A customer may keep paying for a streaming service they barely use, remain on an expensive phone plan or continue with a service simply because changing providers requires time and effort.

An AI agent can potentially remove some of that friction. Instead of the consumer manually searching through several websites, an agent can compare options, identify potential savings and help complete the change.

CONSUMER ECONOMY

The potential disruption is not necessarily that AI will eliminate subscriptions. The bigger change could be that consumers find it easier to switch between competing services, making customer retention more dependent on actual value rather than simple inertia.

Muse is also becoming a shopping agent

Shopping is one of the areas where Muse's capabilities could have a direct effect on the relationship between consumers and retailers.

Meta says Muse can search for products, compare options and complete purchases. The company has built payment functionality around Stripe's Link system, while Shop Pay integration is also planned.

That creates a new layer between the customer and the retailer. Instead of visiting a store's website and making every decision personally, a consumer could increasingly ask an agent to find the product that meets a particular set of requirements.

For retailers, that could change the importance of traditional search rankings, advertising and brand visibility because the AI agent becomes part of the decision-making process.

Amazon's decision shows the conflict

The transition is already creating tension between AI companies and major online platforms.

Amazon blocked Meta's Muse from shopping on Amazon.com in September. Amazon said Muse had not been authorised to access the site in this way and raised concerns about the use of an AI agent to make purchases on behalf of customers.

The dispute highlights a fundamental question about the future of online commerce: who controls the customer relationship when an AI agent becomes the system deciding where a person shops?

The bigger shift: The competition may move from companies fighting directly for consumer attention to companies competing for access to the AI systems that influence consumer decisions.

Shopify is taking a different approach

While Amazon has blocked Muse from shopping on its platform, Shopify has taken a more open approach to agentic commerce.

Shopify has been working with Meta on allowing AI agents to interact with merchants through its commerce infrastructure. The approach reflects a different strategy: rather than preventing agents from interacting with online stores, retailers and commerce platforms can attempt to make agents part of the purchasing system.

The disagreement between Amazon and companies supporting agentic commerce suggests that the rules for AI-powered shopping are still being established.

Meta has a business model to build

Muse could also give Meta a new way to make money from AI.

Reuters reported that investors are increasingly viewing Muse as a potential new revenue engine for Meta. The service has a free tier, while heavier users can pay for higher levels of access.

But Meta's opportunity may extend beyond subscriptions. If Muse becomes a major interface for online shopping, transactions completed through the agent could potentially create another source of revenue for the company.

META'S AI STRATEGY

Meta is moving AI deeper into its consumer ecosystem. Muse, Meta AI, WhatsApp, Instagram and the company's smart glasses strategy could eventually connect AI assistance with communication, shopping, entertainment and everyday tasks.

The advertising model could also change

Meta's traditional business has been built around advertising and keeping people engaged across its platforms. Agentic commerce introduces a different possibility.

If consumers increasingly ask AI agents what to buy instead of searching through advertisements themselves, the influence of traditional digital advertising could change.

Retailers may then compete to make their products visible to AI systems rather than relying solely on advertisements designed for human viewers.

That could create a new form of digital competition in which companies optimise not only for search engines and social media algorithms, but also for AI agents making purchasing decisions.

Trust becomes more important

Giving an AI permission to perform transactions creates a different level of responsibility from asking an AI to write a paragraph or answer a question.

Banks and financial institutions have warned that AI shopping agents could create risks involving fraud, scams, payment security and personal data. They have also called for greater transparency about when AI is involved in transactions and how agents make decisions.

Meta says Muse has safeguards designed to keep users in control, including approval requirements for sensitive actions and systems intended to protect credentials and payment information.

The gap between what an AI agent is technically capable of doing and what consumers are comfortable allowing it to do will be an important part of the next stage of agentic computing.

BIGGER PICTURE

The most important change may not be that AI can shop. It is that an AI agent can increasingly become the middleman between a person and the companies trying to sell to that person.

A new battle for the consumer

The internet was originally built around people visiting websites. Search engines then became a major gateway to those websites, while social platforms became another powerful source of discovery.

AI agents introduce another possibility: people may increasingly tell an agent what they want and allow the agent to decide how to accomplish it.

That could make the AI agent one of the most important interfaces in the digital economy.

For businesses, the challenge will be adapting to a world in which consumers may no longer interact directly with every company they buy from.

Conclusion

Meta's Muse is part of a much larger transition in artificial intelligence: moving from systems that generate answers toward systems that can execute tasks.

That transition could have significant consequences for the subscription and consumer economy. When an AI agent can compare prices, search for alternatives, negotiate bills, make purchases and handle routine tasks, the friction that keeps customers with existing services can become easier to overcome.

Amazon's decision to block Muse while other companies explore integrations shows that the commercial rules surrounding AI agents are still being negotiated.

The larger question is whether consumers will ultimately use AI simply as a smarter assistant or allow it to become the main gateway through which they interact with the businesses, products and services of everyday life.

Daily Touch Insights