Muse ascended to the pinnacle of the U.S. App Store's free app rankings a mere 10 days post-launch. With this innovative personal AI Agent product, Meta has scored a significant victory in the AI application landscape. Muse employs a robust array of security measures, encompassing independent virtual machines, Sentinel security agents, and payment isolation mechanisms, all underpinned by the Muse Spark model tailored specifically for personal agents. Coupled with Meta's expansive social product ecosystem, it swiftly captured the public's imagination.

Previously, Meta had not distinguished itself in the fierce competition among large-scale AI models. However, following the setback of its Manus acquisition attempt, Meta redirected its efforts towards the personal agent domain. Rather than indiscriminately chasing after state-of-the-art (SOTA) models, Meta now leverages models as a foundational element and concentrates on the application layer.

At present, tech behemoths are charting divergent courses in their AI strategies: Google remains committed to a full-stack methodology, whereas Microsoft and Amazon are honing in on enterprise services and AI infrastructure, constructing multi-model platforms. In contrast, Meta is capitalizing on its vast consumer user base and the advantages of its social ecosystem to solidify its foothold in the personal agent arena.

Domestically, Tencent, ByteDance, and Alibaba are also strategically positioning themselves in the personal agent space, drawing on their respective strengths. Tencent is focusing on relationship services, ByteDance on content recommendation, and Alibaba on transactional business services. Furthermore, personal agent contenders such as Manus and Instinct have also garnered favor from investors.