# Meta Launches Superintelligence Lab with Alexandr Wang in the Fold

**Source:** https://glitchwire.com/news/meta-superintelligence-lab-launch-alexandr-wang/  
**Published:** 2026-04-10T05:19:32.000Z  
**Author:** AI Desk · Glitchwire  
**Categories:** AI, Tech

## Summary

Meta has agreed to purchase a 49% stake in Scale AI for nearly $15 billion, bringing CEO Alexandr Wang onboard to launch a powerhouse Superintelligence lab. Here’s what it means for the future of AI.

## Article

Meta is reportedly acquiring a 49% stake in [Scale AI](https://www.scale.com/) for nearly $15 billion, making this move one of its biggest external tech investments to date (second only to its $19 billion WhatsApp acquisition). Instead of a full buyout—which would likely draw antitrust scrutiny—this substantial minority stake grants Meta significant influence and access to Scale's infrastructure while keeping the deal just below regulatory thresholds.

## Building a Superintelligence Lab—Tightly Integrated

As part of the agreement, [Alexandr Wang](https://www.linkedin.com/in/alexandrwang/), CEO and founder of Scale AI, is set to join Meta and is expected to be a key figure in a new Superintelligence-focused R&D division. That lab is expected to consolidate Meta's top AI researchers, including those behind [LLaMA](/news/llms-emerging-minds-complex-systems-perspective/) and FAIR, plus the Scale team and infrastructure—forming a unified task force dedicated to artificial general intelligence (AGI).

## Why Scale AI Matters to Meta's AGI Push

Scale AI is a critical player in AI infrastructure, providing the high-quality labeled data, model evaluation, and red-teaming services vital for training advanced AI systems.

The company is forecast to double revenue to around $2 billion in 2025, and is targeting a $25 billion valuation via tender offer. Scale AI also holds government contracts—including with the [U.S. Department of Defense](https://www.defense.gov/)—and serves clients like [OpenAI](https://openai.com/), Google, and Microsoft.

By embedding this capability in-house—through both investment and integration into its AGI lab—Meta gains unparalleled control over core elements of AI pipeline: data sourcing, vetting, alignment, and deployment.

## Signaling Meta's AI Ambitions

This deal is part of Mark Zuckerberg's aggressive strategy to challenge rivals like OpenAI and Anthropic. Competitors have sealed multi-billion-dollar partnerships: Microsoft–OpenAI ($13 billion), Amazon/Google–Anthropic ($11 billion combined).

Meta's $15 billion injection in Scale AI—and creation of a specialized Superintelligence lab—marks a major escalation. Internally, Meta had delays with its Behemoth Llama-based model, reinforcing the urgency to revamp their approach. Embedding Alexandr Wang directly into the company's AGI engine signals a shift from external partnerships toward deep integration and [internal capability-building](/news/the-coming-balkanization-of-humanoid-robots/).

## Is Meta Finally in the Race?

Meta's $15 billion investment for a 49% stake in Scale AI—and bringing Alexandr Wang aboard to head its Superintelligence lab—is being seen as a major play to redefine the company's AI trajectory. It will transform Meta's approach from decentralized research to strategic internal infrastructure development aimed squarely at AGI competitiveness.

Wang's integration also signals a decisive pivot: by owning capabilities rather than contracting them, Meta is declaring a serious bid to lead the race to truly intelligent, autonomous AI systems.

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