Meta Shares Surge Over 8% to Highest Since February as Connect 2026 Nears, Muse Agent May Become New AI Variable

Meta launched Muse on September 8, positioning it as a personal AI agent. Unlike traditional Q&A-focused chatbots, Muse emphasizes completing tasks such as sending emails, booking travel, and filling out forms, with some tasks continuing to run even after users leave the app. Powered by the Muse Spark model, the product is currently being rolled out gradually in the US across iOS, Android, muse.ai, and WhatsApp.

Meta recently released Muse Spark 1.3, further improving performance in long-duration tasks and programming. The market is particularly focused on Muse's support for AI glasses: even if camera-free glasses lack visual input, users can still delegate digital tasks to Muse via voice, thereby providing a clearer use case for wearable devices.

Morgan Stanley believes that agentic AI is shifting from an information lookup tool to an action-oriented assistant capable of searching, comparing, decision-making, and even completing transactions, with potential digital consumer spending reaching approximately $30 trillion. The firm estimates that if Muse reaches 100 million users by 2028, with each user initiating 5 queries per day, 10% of which have commercial value, and Meta earns about $0.07 per commercial query, Muse could contribute approximately $1.3 billion in annual revenue and an incremental $0.35 in earnings per share.

This estimate is highly dependent on user scale, commercial query frequency, and monetization efficiency, and should not be viewed as a baseline forecast. Compared to subscription fees, transaction commissions and behavior-based monetization may represent a larger long-term opportunity for Muse.

Morgan Stanley pointed out that Meta's Facebook and Instagram first-party data helps agents understand user preferences, while Apple and Google control operating systems and device entry points. In e-commerce, Amazon, eBay, and Shopify are considered to hold relative advantages, with Shopify helping fragmented merchants adapt to agent-driven product information and transaction workflows.

Travel platforms possess real-time and diversified inventory, remaining defensive in the short term; meanwhile, standardized services such as ride-hailing are more likely to face impacts from price-comparison agents. For Google, if high-commercial-value queries shift toward agentic transactions, unit-transaction monetization of traditional search advertising may come under pressure.

Whether Meta Connect 2026 can form a closed loop connecting Muse, smart glasses, and transaction scenarios will serve as an important window for observing Meta's AI layout and market expectations.

This content was translated using AI and reviewed for clarity. It is for informational purposes only.