Meta's new agentic AI app, Muse, has secured the second spot on the US App Store. However, initial download figures suggest a much slower trajectory compared to the explosive debuts of Threads and ChatGPT.
- Muse has surpassed 83,000 iOS downloads in the US, reaching the No. 2 spot on the App Store.
- Initial growth is significantly lower than Threads (4.3M day-one downloads) and ChatGPT (500K in one week).
- Meta is betting on 'agentic AI' to handle tasks on behalf of users, competing directly with rivals like Instinct.
- Privacy concerns and recent legal settlements may be hindering user adoption rates.
Meta is making a strategic pivot toward agentic AI with the launch of Muse, an application designed to perform complex tasks on behalf of the user. While the app has successfully climbed to the No. 2 position on the US iOS App Store, the raw data provided by market intelligence firm Sensor Tower reveals a more nuanced story. With over 83,000 downloads, Muse is certainly gaining traction, but it lacks the viral velocity seen in Meta's previous ventures.
When compared to the launch of Threads, which saw a staggering 4.3 million US downloads on its first day, Muse appears to be moving at a glacial pace. Even Meta AI outperformed Muse with 108,000 downloads during its debut. The gap is even wider when looking at ChatGPT, which crossed the half-million mark in the US within its first week, averaging roughly 83.3K downloads daily—a milestone Muse took twice as long to achieve.
BozokMedia analysis shows that this shift represents Meta's most significant strategic gamble since the rebranding from Facebook to Meta. The company is no longer just building chatbots; it is building autonomous agents. If Meta can successfully transition users from 'searching' to 'delegating,' they can redefine the consumer interface of the internet. However, the stark contrast between iOS success and its Android performance (ranking No. 338 in Productivity) suggests a fragmented rollout strategy.
The battle for AI dominance has shifted from Large Language Models to Agentic Workflows, where the winner is determined by utility and trust, not just intelligence.
Meta is not alone in this race. The competition is intensifying with Google's Gemini Spark and Anthropic's Claude Cowork. However, the most formidable threat comes from Instinct, a text-based AI agent recently valued at $2.5 billion. Unlike Muse, Instinct is rapidly shipping features like integrated email addresses and a unique 'social graph' where agents can communicate with other agents to coordinate real-world plans.
| App | US Launch Performance | Core Strategy |
|---|---|---|
| Meta Muse | 83K+ iOS Downloads (Slow) | Agentic Task Management |
| Threads | 4.3M Day-1 Downloads (Viral) | Microblogging Social Graph |
| ChatGPT | 500K+ Week-1 Downloads (Massive) | Conversational Intelligence |
| Instinct | $2.5B Valuation (High Growth) | Agent-to-Agent Coordination |
The slow start for Muse may be attributed to a 'trust deficit.' The app requires significant personal information to function effectively. This coincides with Meta's recent $18 billion multistate settlement over consumer harms and a history of FTC fines for privacy violations. Users may be hesitant to grant an autonomous agent deep access to their digital lives given the company's track record.
1. What is agentic AI?
Agentic AI refers to AI systems that can act autonomously to achieve a goal, such as booking a flight or managing a calendar, rather than just answering questions.
2. Why is Instinct considered a threat to Meta?
Instinct's ability to let AI agents talk to each other to coordinate plans creates a new type of social network that could be more valuable than Meta's traditional friend graph.
