Meta Launches Muse AI Agent for Autonomous Multi-Step Tasks, Shares Soar

Meta Platforms has launched Muse, a personal AI agent capable of autonomously executing multi-step tasks, marking a significant strategic pivot from conventional chatbots and immediately sending Meta shares up over 11 percent on September 21, 2026. Introduced on September 8, 2026, across iOS, Android, and the web in the United States, Muse goes beyond simply answering queries, actively performing complex actions like drafting emails, managing online purchases, scheduling trips, and even negotiating on a user's behalf. This agentic AI, powered by Meta's proprietary Muse Spark model, represents a bold move towards a future where digital assistants proactively manage aspects of users' lives, rather than merely providing information.

This shift fundamentally redefines user interaction with AI, transforming a conversational interface into a delegate. Muse's ability to operate independently, even when the user closes the app, and its capacity to learn and make suggestions based on past interactions, promises to free up substantial user time. Early adopters are already leveraging Muse for tasks like securing flight credits after delays or navigating customer service calls, a practice dubbed "musemaxxing". This capability is particularly impactful for Meta's broader ecosystem, as the company integrates Muse across its platforms—including Facebook, Instagram, and WhatsApp—and plans support for its AI glasses. The strategic implication for commerce is profound; Muse is designed to interpret intent, compare products across merchant catalogs, and complete purchases directly within Meta's platforms, potentially reshaping how products are discovered and bought by integrating the entire shopping flow from inspiration to checkout. This could position Meta as a dominant force in agent-driven e-commerce, compelling brands to ensure visibility within agent recommendations.

Underpinning Muse's capabilities is Muse Spark, a closed-source, proprietary model developed by Meta Superintelligence Labs and introduced in April 2026. This model represents a departure from Meta's previous reliance on its open Llama series for developers. Meta's ambition for "personal superintelligence," articulated by CEO Mark Zuckerberg, involves creating an AI that deeply understands individual context, goals, and routines to assist with a vast array of personal and professional tasks, including scheduling, shopping, and even emotional wellness. To support this vision, Meta has committed significant investment, spending $60-65 billion on AI infrastructure in 2025 and projecting $115-135 billion in 2026, including building a 2GW+ data center and deploying over 1.3 million GPUs. This aggressive investment underscores Meta's determination to compete with established AI players. While Meta AI, the broader assistant integrated into Meta's apps, has already achieved substantial reach with 1.5 billion monthly active users by July 2026, Muse aims for a deeper, more autonomous engagement. In a competitive landscape featuring powerhouses like OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini, Muse differentiates itself by its agentic capabilities and deep integration across Meta's social graph, leveraging years of behavioral context to offer personalized recommendations and actions.

However, the promise of an AI agent with extensive access to a user's digital life inevitably raises significant privacy concerns. While Meta's general AI offerings have faced scrutiny for updating their privacy policy in December 2025 to use public user data, including posts, photos, and comments, for AI model training with a complicated opt-out process for some regions, Muse operates with a distinct security architecture. Meta emphasizes Muse's robust privacy and security features, highlighting that the agent runs on a dedicated, isolated "Muse Secure VM" which houses both the agent and the user's data. Furthermore, conversations with Muse are explicitly stated not to be shared with Meta's ad systems, and for online purchases, a one-time card number is generated to protect actual payment details. Users retain control over the level of access Muse has to their connected apps, such as granting read or write permissions to emails. Despite these safeguards, cybersecurity experts and privacy commissioners advise caution, urging users to limit the personal information shared, especially given the inherent risks of granting an AI agent extensive access to sensitive data. The challenge for Meta will be to build and maintain user trust in an era of heightened data privacy awareness.

Looking ahead, Meta's roadmap for Muse is ambitious. Further capabilities announced on September 23, 2026, include a Realtime Avatar model for video conversations with the agent, the ability to control applications on macOS, and Muse gaining its own email address. This expansion into controlling desktop applications and receiving direct communications underscores the vision of Muse as a ubiquitous personal assistant. Beyond individual users, Meta is also strategically targeting the enterprise market with the Meta Enterprise Platform, which will integrate Muse agents, APIs, and coding tools for business applications. This move aims to evolve Meta's AI stack into deployable products and services for enterprises, though the company faces the challenge of overcoming past perceptions of abandoning enterprise products. The long-term success of Muse hinges on Meta's ability to balance groundbreaking functionality with unwavering user trust and privacy, transforming its "personal superintelligence" vision into a widely adopted reality that genuinely enhances, rather than complicates, digital life.

FACTS: All the latest news on Meta’s cute, creepy Muse AI agent — Meta launched a new Muse AI agent it claims can help you with everything from firing off emails to buying stuff online. Muse can be surprisingly effective at delivering on those promises — if you’re willing to trust Meta with your data and (kaynak: The Verge AI, https://www.theverge.com/ai-artificial-intelligence/1002671/meta-muse-ai)