Corporate Response Remains Muted as Meta's Muse AI Agent Enters Commerce Market

Meta's agentic AI tool, Muse, has become a prominent topic on recent corporate earnings calls as companies evaluate the technology's potential to reshape commerce, though current adoption and transaction volumes remain very low across multiple sectors [1].

Corporate Sentiment and Current Uptake

Companies across various industries have spent recent weeks addressing investor concerns regarding agentic AI assistants like Meta's Muse [1]. While Wall Street has expressed fears that proactive shopping assistants could erode brand loyalty, spark price wars, and compress corporate margins, executives spanning travel, food, internet services, and self-storage have largely downplayed immediate disruption [1].

Data shared by several major firms highlight the nascent stage of agent-driven commerce. Food delivery platform DoorDash reported order volumes from Muse and similar agents in the hundreds, while T-Mobile and Hilton characterized activity as insignificant [1]. Banking provider Ally Financial and e-commerce marketplace eBay described agent-driven activity as quite low and very small, respectively [1]. In India, delivery application giant Eternal estimated agentic commerce to be close to zero [1]. Furthermore, fitness chain Life Time Group, Public Storage, and Hartford Insurance Group reported seeing zero subscription cancellations or impacts from agents [1].

Usage Metrics and Retail Partnerships

Meta CEO Mark Zuckerberg stated during an earnings call that more than 10 million individuals in the US and Canada have activated Muse, with over 25 percent utilizing it specifically for shopping—surpassing initial internal expectations [1]. Meta has established partnerships with 10 retailers, including Walmart, Best Buy, and Gap, to streamline shopping processes through the assistant [1]. However, many partner retailers reported earnings before the launch of Muse and have not yet disclosed specific performance data [1].

Optimizations and Strategic Shifts

Businesses are beginning to adapt their digital infrastructure to accommodate automated agents. Chipotle chief digital officer Arlie Sisson noted that the restaurant chain experienced a single-digit percentage increase in agentic orders following the debut of Muse, despite initial technical hurdles involving loyalty discounts and after-hours ordering [1]. Chipotle is currently refining its website code to help AI agents navigate ordering systems more effectively [1]. Similar optimization efforts are underway at companies like Costco and Extra Space Storage, which have observed surging sales from AI chatbots such as Gemini and ChatGPT [1].

Platform strategies are also evolving rapidly. Amazon initially blocked Muse, arguing that consumers would prefer its proprietary Alexa shopping agent, but later acknowledged expectations of working with external agents [1]. Similarly, insurance marketplace Insurify reversed an earlier block after implementing technology to guarantee accurate offer presentations by agents [1].

Financial and Security Considerations

Monetization models tied to agentic AI are developing. Zuckerberg indicated that Meta intends to charge businesses transaction fees for purchases facilitated by Muse, forecasting that this revenue stream could eventually surpass the company's traditional advertising business [1]. Meanwhile, InterContinental Hotels CEO Elie Maalouf noted that ongoing discussions with Meta remain exploratory, with no final determinations regarding collaboration [1].

Security concerns continue to draw corporate warnings. Bank of America issued a customer advisory cautioning against sharing login credentials with AI assistants, reminding clients that they remain liable for account activity resulting from such access [1]. Despite these friction points and concerns over comparison shopping eroding profits, many executives maintain that product quality, customer service, and brand trust will continue to drive consumer decisions [1].

Meta introduced its agentic AI tool, Muse, enabling users to automate online tasks such as shopping [1]. Zuckerberg reported over 10 million activations in the US and Canada, with more than a quarter of users employing the tool for purchasing tasks [1].

The emergence of agentic AI tools like Muse signals a potential shift in digital commerce and consumer interaction models, impacting how Indian and global firms structure their online platforms, handle security, and engage with automated consumer traffic.

Companies may increasingly invest in website code optimization to ensure AI agents can successfully navigate digital storefronts and complete customer transactions. Meta's potential transactional fees could establish a new digital marketplace monetization model separate from traditional advertising.

Unresolved challenges include potential security vulnerabilities from credential sharing with AI assistants, risks to brand loyalty and corporate profit margins from aggressive comparison shopping, and technical errors during automated checkout processes.