Meta Chief AI Officer Urges Realistic Expectations for AI Agent Muse
Meta Chief AI Officer Alexandr Wang addressed realistic expectations for the popular Muse AI agent, stating that users must actively collaborate with the tool rather than expecting automated wealth creation like earning $10,000. He also highlighted that Meta is actively working to improve Muse's long-term memory capabilities so it can execute increasingly complex tasks. As personal AI agents transition from simple single-turn chatbots to proactive assistants executing multi-step workflows, setting realistic user expectations and enhancing persistent memory are crucial for long-term user retention. Additionally, Meta's strategy targets the general non-technical public rather than developer-focused coding tools, opening up transaction-based monetization opportunities beyond traditional advertising. Wang emphasized that human memory differs significantly from AI agent memory, making memory architecture a key technical focus area for Meta's AI lab. Regarding monetization, Meta offers tiered subscriptions and is exploring transaction fee models when Muse helps users shop or save money, while currently avoiding heavily focusing on in-app advertising.
## BACKGROUND
Introduced in September 2026, Muse is Meta's personal AI agent designed to handle long-running, multi-step tasks on behalf of users rather than relying on brief Q&A exchanges. Unlike stateless chatbots, long-term AI agents require persistent memory mechanisms—such as vector databases and memory consolidation architectures—to retain context across sessions. Meta designed Muse to run inside a dedicated virtual machine environment called Muse Secure VM to keep personal user data isolated and safe.