AI Dominance: Meta's Muse Cracks Top 2 Apps in US Market
Meta's new AI app, Muse, has launched with initial iOS downloads surpassing 83,000, but its debut trails previous Meta apps and ChatGPT. The company faces stiff competition in the agentic AI market, particularly from the rapidly growing Instinct, while grappling with consumer trust issues following recent privacy settlements.
Meta has embarked on a significant strategic endeavor with the launch of its new artificial intelligence application, Muse, aimed at capturing a substantial share in the emerging market of agentic AI. This move has garnered initial attention from Wall Street and has become a focal point for discussion among industry leaders on platforms like X. Muse represents one of Meta's most substantial investments in the belief that AI agents, capable of autonomously completing tasks on behalf of users, will define the future of consumer AI, akin to its rebranding from Facebook to Meta to pursue metaverse ambitions.
Early data from market intelligence firm Sensor Tower provides initial insights into Muse's reception among U.S. consumers, the app's exclusive launch market. The application has achieved over 83,000 downloads on iOS in the United States, propelling it to the No. 2 position on the App Store’s Top Charts. While these numbers are notable, they appear modest when compared to Meta's previous app launches. For instance, Threads saw more than 4.3 million U.S. downloads on its launch day, and the Meta AI app recorded 108,000 U.S. downloads during its debut. Furthermore, Muse's initial performance lags behind other prominent consumer AI applications, notably ChatGPT, which amassed over half a million installs in the U.S. within less than a week, averaging approximately 83,300 daily downloads—a figure Muse took twice as long to achieve.
Despite the slower initial uptake, it's premature to deem Muse's launch unsuccessful. The app continues to gain traction on iOS, having climbed from the fourth position to the second on the U.S. App Store. However, its Android counterpart faces greater challenges, ranking only 338th in the Productivity category on Google Play, with specific Android download figures not yet publicly available. It is also important to note that the reported download estimates do not include usage via the web or through WhatsApp, platforms where Muse is also accessible.
Meta's foray into consumer-facing agentic AI is not unique; the landscape is bustling with competitors such as Google’s Gemini Spark and Anthropic’s Claude Cowork. For straightforward, user-friendly agents targeting everyday individuals, the primary competition currently lies between Meta’s Muse and Instinct. Instinct, a new AI agent operating via text messages, has rapidly ascended, securing a valuation of $2.5 billion and boasting $350 million in funding. Despite concerns regarding its security and a broad privacy policy, Instinct has received strong endorsements from Silicon Valley insiders for its advanced capabilities.
Instinct is actively and swiftly rolling out new features. Recently, it introduced email addresses for all users and announced plans to build a novel social network where individual Instinct agents can communicate with those of friends to facilitate plan coordination. This ability to forge a social graph based on real-world interactions and relationships could potentially offer a more profound value proposition than Meta’s existing friend graph, which often includes a mix of acquaintances and followers. Moreover, Instinct has recently integrated with Stripe and 1Password and launched a location-sharing feature, enabling its agents to perform location-dependent actions.
The timing of Muse's launch may also have influenced its initial performance. The app, which requires users to share additional personal information with Meta, debuted just days after Meta agreed to an extensive $18 billion multistate settlement stemming from a lawsuit concerning social media’s consumer harms. Meta's reputation has been repeatedly impacted by numerous legal challenges over the years, including major data scandals and multiple fines imposed by the U.S. Federal Trade Commission for privacy breaches. These historical and recent events could potentially contribute to consumer hesitancy in adopting new Meta products that demand more personal data.