Meta Plans to Launch Personalized AI Agents for Everyday Tasks Across 3 Billion Users

Meta is preparing a major shift in how people interact with artificial intelligence, moving beyond work-focused tools into everyday life. According to a report by Financial Times, the company is developing personalized AI agents designed to handle daily tasks for its massive global user base of over 3 billion people.

The move reflects Mark Zuckerberg’s broader push to make AI a core part of consumer behavior, not just productivity. Until now, most AI agents, including platforms like OpenClaw, have largely been used for coding or work-related automation. Meta’s approach signals a shift toward embedding AI into routine, personal use cases.

Meta Tests In House AI Agents:

Internally, these agents are already being tested by employees. Like OpenClaw, users may be able to assign tasks that run in the background. However, it remains unclear whether these systems will operate locally on devices or rely on cloud infrastructure, similar to Claude.

What sets Meta apart is its plan to power these agents using its in-house Muse Spark model, developed by its Superintelligence Labs under Alexandr Wang. This vertical integration suggests Meta wants tighter control over both the technology and user experience.

The company is also expanding through acquisitions. It recently bought Moltbook, an AI-first social network that gained attention for its autonomous bot ecosystem. The Moltbook team has now joined Meta’s Superintelligence Labs, reinforcing its ambitions in the agentic AI space.

AI Push Raises Privacy Concerns:

At the same time, Meta’s aggressive AI investments are being funded through structural changes. The company has announced layoffs affecting around 10 percent of its global workforce. It has also explored controversial internal practices, including tracking employee activity like mouse movements and keystrokes to train AI systems.

There are also growing concerns around privacy. The report indicates Meta wants users to share sensitive data, including health and financial information, with these AI agents. This comes after the company previously settled an $8 billion lawsuit over alleged privacy violations tied to Facebook, raising fresh questions about data trust.

For brands and marketers, this shift could redefine how consumers interact with platforms. If AI agents become the interface, discovery, commerce, and engagement may increasingly be mediated by algorithms rather than direct user actions. Meta is already reportedly working on an AI-powered shopping agent for Instagram, targeting a launch before the fourth quarter.

For consumers, the convenience of automation may come with trade-offs around control and data sharing. And culturally, the idea of delegating everyday decisions to AI signals a deeper behavioral shift that extends beyond technology into how people live and interact.