Meta's new Muse AI agent has rocketed to the top of Apple's App Store in less than two weeks, overtaking OpenAI's ChatGPT and signaling a fundamental shift in how everyday people want to use artificial intelligence. The app, which launched on September 8, accumulated 2.5 million downloads by September 21, with 730,000 of those coming in just the first five days after release. This explosive growth reflects CEO Mark Zuckerberg's strategic bet that consumers are ready for AI agents that can perform real-world tasks on their behalf, not just answer questions.

What Makes Muse Different From ChatGPT and Other AI Apps?

Muse isn't designed as a chatbot you talk to for information. Instead, it's built as a personal digital assistant that can take action across the web. The app can fill out electronic forms, organize email inboxes, and handle other routine tasks that typically require manual work. This represents a departure from the conversational AI model that made ChatGPT famous. Muse is powered by Meta's Muse Spark family of AI models, which are specifically optimized for agentic tasks, meaning the AI can operate somewhat independently to accomplish goals.

The download comparison tells a striking story. During the same 13-day window after launch, Muse accumulated 2.5 million downloads, while Anthropic's Claude recorded 400,000 and SpaceX's Grok AI logged 200,000. ChatGPT, despite its massive existing user base, pulled in 3.1 million downloads during that same period. However, Muse achieved this while being brand new to the market, suggesting it's capturing user attention at a faster rate than established competitors.

The app's rapid rise also boosted Meta's stock price, which surged more than 11 percent on the day these download figures became public. Wells Fargo lifted its price target on Meta stock to $796, reflecting investor confidence in the company's AI strategy.

How Is Meta Monetizing Muse?

• Free Tier: Users can access Muse's core features at no cost, similar to the freemium model that made ChatGPT popular.
• Premium Subscription ($20/month): A mid-tier option for users who want more frequent access and additional capabilities.
• Premium Subscription ($100/month): A higher-tier option for power users who need extensive agent functionality and priority support.

This tiered pricing strategy represents a significant revenue opportunity for Meta beyond its traditional advertising business. The company has struggled to find new monetization channels, and AI agents offer a path to direct consumer payments.

Why Are Retailers Divided on AI Agents?

Muse's rapid growth has already created friction in the e-commerce world. Amazon blocked Muse from accessing its shopping platform, citing privacy and security concerns. The company stated it was not given advance notice that Muse would access its store and raised several red flags about how the agent operates. Amazon noted that Muse appears to bypass personalization features, capture customer credentials, and scrape account data without proper authorization.

"We think it's fairly straightforward that third-party applications that offer to make purchases on behalf of customers from other businesses should operate openly and respect service provider decisions about whether or not to participate," an Amazon spokesperson said.

Amazon Spokesperson

However, not all retailers are taking the same stance. Shopify announced a partnership with Meta to allow Muse to perform checkout functions directly within Shopify stores. This divergence reflects broader uncertainty about how AI agents should operate and what safeguards need to be in place.

What Does This Mean for the Future of AI Assistants?

Muse's success challenges the assumption that ChatGPT's dominance in consumer AI is unshakeable. Bernstein analyst Stacy Rasgon noted that most AI agent use cases have historically been aimed at developers and tech enthusiasts, not ordinary consumers. Muse represents an attempt to change that equation by offering practical, everyday functionality that non-technical users can immediately understand and benefit from.

"I think up to this point most of the agentic use cases have not really been for normal people. Now you've got Meta's Muse and other agents out there that are starting to maybe get more potential for more broad-based adoption," Rasgon explained.

Stacy Rasgon, Analyst at Bernstein

However, history offers a cautionary note. OpenAI's Sora video generation tool and Meta's own Vibes AI video tool both experienced download surges when first released but failed to maintain momentum as long-term consumer products. Whether Muse can sustain its current trajectory remains an open question.

The broader context matters too. Muse's launch comes amid heightened concerns about AI safety and cybersecurity risks across the industry. Meta also recently agreed to pay approximately $17 billion to settle a lawsuit with state attorneys general over allegations that the company misrepresented harms to children and teenagers caused by Facebook and Instagram. These factors could complicate Muse's long-term adoption, particularly among privacy-conscious users.

Meanwhile, OpenAI is taking a different approach to the current moment. Rather than focusing solely on consumer adoption, the company released a set of proposals for safety and security in frontier AI development, emphasizing alignment research and a technique called recursive self-improvement, or RSI. OpenAI called for international cooperation to develop standards that would keep advanced AI systems aligned with human values and under human control.

The contrast between Meta's aggressive consumer push and OpenAI's emphasis on safety governance reflects a fundamental tension in the AI industry. As AI agents become more capable and more widely deployed, questions about oversight, security, and accountability are becoming impossible to ignore. Muse's rapid rise suggests that consumers are ready for AI agents to handle real tasks. Whether the industry can build those agents safely remains the defining challenge of this moment.