While the viral OpenClaw project offered tech enthusiasts a glimpse into the potential of local AI assistants, Meta's ambitious new offering, Muse, is positioned as a mainstream, out-of-the-box "cloud-based assistant" designed for everyone. On September 8, Meta officially launched its most significant AI product bet to date, the personal AI agent Muse, translating the "personal superintelligence" vision proposed over a year ago into a tangible product.

Equipped with its own dedicated virtual computer, this new tool can operate on behalf of users around the clock, launching with a strategy of massive free computational power to aggressively disrupt the personal AI agent market. It not only possesses the "lobster-like" quality of continuous autonomous operation but also minimizes complex setup requirements to an unprecedented degree. This allows ordinary people to bypass the need for purchasing and configuring their own hardware, granting them direct access to a versatile digital proxy hosted in the cloud. Zuckerberg elaborated on this philosophy, stating he doesn't envision billions of people buying a Mac Studio to run such a system themselves.

The entry point for users is deliberately frictionless. From launch, Muse offers a generous weekly allotment of up to 100 million free tokens and incorporates a confidential virtual machine system co-designed with Signal founder Moxie Marlinspike, a system so secure that even Meta itself cannot peer inside. Zuckerberg outlined the long-term business model, which involves taking a "very small percentage" cut from transactions executed by users through Muse, alongside offering premium subscription tiers for power users.

The release of Muse sends immediate shockwaves through AI startups like Instinct and Town that are pursuing the same market space. These smaller companies lack the subsidizing power of Meta's existing advertising business. By setting market expectations with a near-free model, Meta signals that personal AI assistants should be expected to deliver significant value before demanding payment from users.

How "24/7 Operation and Overnight Reflection": An AI with Proactive Network Effects
Investors are keenly focused on whether AI products can genuinely transform user workflows. Muse's solution centers on "long-term memory" and "proactivity." It moves beyond the limitations of single prompts, backed by a dedicated virtual machine behind the scenes. In a recent interview on the tech podcast Sources, Zuckerberg precisely defined his ambition: to give everyone in the world a highly capable personal agent that understands their goals and can work on their behalf 24/7.

Unlike models that merely react to queries, Muse demonstrates significant initiative. It can consolidate information overnight, a process the team refers to as "learning through the night." Zuckerberg illustrated this with an example: after asking Muse to create a gaming strategy for his daughter, Muse proactively suggested expanding the guide to also teach about historical lessons from different civilizations. Even more notable for the market, Meta is integrating its signature "network effect" into AI learning. Zuckerberg revealed that Muse features a "Fleet" concept, where underlying agents can learn from anonymized insights across its entire user base. When questioned about this being a future competitive advantage, he noted that the industry often sees agents as a single-player experience, but Muse is designed to improve for everyone as more people use it.

Exchanging Free Compute for "Commercial Commissions": Muse's Ultimate Business Model
Addressing Wall Street's primary concerns about revenue growth and future potential, Zuckerberg has for the first time clearly articulated Meta's economic framework for AI agents: aggressively capture market share with a disruptive free strategy, ultimately achieving profitability through commissions on commercial transactions. To establish an absolute barrier in the personal agent market, Meta is giving away substantial computational resources. Zuckerberg confirmed that Muse launches with up to 100 million free tokens weekly, along with a virtual machine that works on the user's behalf. While startups are charging monthly subscription fees, Meta is leveraging profits from its core business to subsidize this new venture and effectively raise the bar for free offerings in the industry.

For the future monetization path, Zuckerberg outlined a compelling vision: he believes the service will generate significant value for people using it to run small businesses, earn income, or conduct commerce. The expected model is to extract a very small percentage from any such transaction over time. He added that the reasoning behind this payment model is that the AI demonstrably makes or saves money for the user, thus justifying its own cost. Furthermore, users can connect Muse directly to Meta's advertising system, enabling the AI to generate products and manage ad placements. This creates a synergistic business-to-business loop, complemented by a paid subscription option for heavy users.

Absolute Privacy Fortress and a Long-Term Data Center Bet
For an AI agent to take charge of a user's bank cards, email, and business accounts, overcoming the trust barrier is paramount. Zuckerberg has astutely identified this and is positioning "privacy and security" as Muse's core moat against competitors. To technically substantiate its privacy claims, he personally recruited Moxie Marlinspike to lead the development of the confidential virtual machine technology, promising that even Meta cannot see the contents within. Muse also incorporates a dedicated "Sentinel" agent to monitor its incoming and outgoing data, guard against prompt injection attacks, and enforce mandatory human approval before executing sensitive operations.

In response to market concerns about over-investment in AI infrastructure and local community resistance to data centers, Zuckerberg draws a clear distinction between Meta and developers seeking short-term gains. He emphasizes that Meta is investing in communities for "decades," whereas speculators, in his view, do not share the same level of commitment to local areas or a long-term investment horizon.

Restructuring Labs for Talent Density and the Upcoming "Watermelon" Model
On the progress of model capabilities, Zuckerberg admitted that the previous Llama 4 roadmap went off course. To correct this, he personally reorganized the AI lab, establishing it around his own workstation to maximize "talent density" and significantly increasing computational investment to multi-gigawatt levels. Currently, Muse is powered by the code-named "Avocado" Muse Spark 1.3 model. Zuckerberg provided a major preview for the market: the next-generation model, code-named "Watermelon," is on the verge of release. When asked about its progress, he confidently described it as a substantial advancement and a significantly more advanced pre-trained model.