Can AI Run Meta? Mark Zuckerberg is Building an Agent to Find Out

Meta CEO Mark Zuckerberg has significantly intensified the pursuit of “agentic AI” by hiring the entire founding team of the high-profile startup, Dreamer. 

This move, characterized as a major “acqui-hire,” brings seasoned veterans from Google and Stripe into Meta’s newly formed Superintelligence Labs (MSL) as the company races to build autonomous digital assistants.

The Return of the Veterans

The hiring spree is headlined by the “homecoming” of Hugo Barra, a former Meta VR lead and Google Android executive. 

Joining him are David Singleton, former Chief Technology Officer at Stripe, and Nicholas Jitkoff, the design visionary behind Google’s Chrome OS.

Dreamer will remain an independent legal entity, but Meta has secured a non-exclusive license for its underlying technology.

This platform allows non-technical users to build personalized AI agents.

Internal memos from Meta’s Chief AI Officer, Alexandr Wang, suggest that the Dreamer team will be pivotal in developing “always-on” agents that can manage emails, calendars, and complex workflows across Meta’s family of apps and wearable devices.

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Meta Strategic Billions in “Superintelligence”

This talent acquisition follows a pattern of aggressive spending. In the last few months alone, Meta has:

• Acquired the AI-native social network Moltbook.
• Spent an estimated $2 billion to acquire Manus AI, known for autonomous browser-based agents.
• Invested over $14 billion into Scale AI to bolster its foundational infrastructure.

Zuckerberg recently told investors that progress in AI agents has been “profound.”

He is reportedly testing a private “AI CEO” agent to assist with his own executive decision-making.

With projected capital expenditures for 2026 reaching up to $135 billion, Meta is positioning itself to win the “agentic” frontier against rivals like OpenAI and Google.

The “Demo, Don’t Memo” Culture

The integration of the Dreamer team signals a shift toward a faster, product-driven culture within Meta.

Meta focuses on “Sidekick” style agents that understand individual user contexts.

Through this, the company aims to transform from a social media platform into a personal AI operating system.

Analysts suggest this recruitment drive focuses less on immediate revenue and more on securing architectural expertise.

This expertise is needed to make AI agents as ubiquitous as the smartphone.

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