$14B Meta Investment in Scale AI Boosts Plans for Superintelligence Lab

$14B Meta Investment in Scale AI Boosts Plans for Superintelligence Lab

Meta's Mark Zuckerberg. Image: Meta

Meta invests $14.3B in Scale AI to fuel a new superintelligence lab—gaining infrastructure and leadership, but raising doubts about Scale’s future.

Written By
Liz Ticong
Liz Ticong
Jun 13, 2025

Meta committed $14 billion to Scale AI, kick-starting an in-house superintelligence lab that marks its boldest AI financing yet.

According to The New York Times and Scale AI’s official announcement, the partnership expands Meta’s access to AI data and infrastructure. The planned superintelligence lab will focus on building advanced AI systems, drawing on Scale AI’s capabilities while allowing the company to remain independent.

What Meta is actually paying for

Meta’s multibillion-dollar deal with Scale AI grants it access to critical infrastructure for training and testing large language models, along with data services that support model development, The New York Times reports. This aims to boost Meta’s AI division, which has struggled to keep pace with tech rivals.

The investment amounts to roughly 10% of Meta’s projected 2024 revenue and marks its first major minority stake in an outside company. It is also Meta’s second-largest deal on record, following the $19 billion acquisition of WhatsApp in 2014.

As part of the arrangement, Scale AI CEO Alexandr Wang will join Meta to support its AI efforts while retaining a seat on Scale’s board. Jason Droege, previously Scale’s chief strategy officer, has been named interim CEO.

Mounting rival pressure drives Zuckerberg’s superintelligence ambitions

Meta’s superintelligence lab initiative was developed amid rising competition from OpenAI, Google, Microsoft, and Anthropic. The new division will take on the company’s most advanced AI work, with a focus on building systems capable of far greater complexity than its current models.

Frustrated by uneven results from earlier projects, including limited enthusiasm for Llama 4, CEO Mark Zuckerberg is leading the effort himself. The lab’s goal is to create AI systems designed to perform tasks that typically require human-level reasoning, marking a clear escalation in Meta’s research priorities.

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The possible tradeoffs behind the partnership

Meta’s investment has stirred unease among Scale’s existing clients. According to Forbes, OpenAI began scaling back its relationship with the company months ago and has been reviewing other vendors. One former Scale employee said, “They all want to cut Scale off now. Scale as a business, once it becomes part of Meta, entirely collapses.” Scale later denied any change in OpenAI’s spending.

Rivals are moving in. Mercor CEO Brendan Foody reported a spike in demand from clients leaving Scale. Invisible Technologies emphasized its independence, while Turing, a data supplier to multiple large firms, described the deal as an opportunity to gain ground.

The outcome, for now, tells two different stories. For Meta, the deal is strategic; for Scale, it could be existential.

Building superintelligence takes serious power. TechRepublic explores how Meta plans to meet rising demand through a 20-year nuclear deal.

Liz Ticong

Liz Ticong is a technology writer specializing in artificial intelligence, cybersecurity, software reviews, and emerging business technologies. With more than a decade of professional writing experience and over five years contributing technology content for TechnologyAdvice, she helps readers understand complex technologies and evaluate the tools that best fit their needs. Liz has extensive experience researching, testing, and analyzing software platforms, AI tools, and technology solutions. Her work includes in-depth software reviews, buyer’s guides, product comparisons, and technology news coverage designed to help businesses make informed purchasing and implementation decisions. She regularly evaluates AI applications, automation tools, cybersecurity solutions, and business software, providing practical insights based on hands-on testing and research. In addition to her work with TechnologyAdvice, Liz has contributed technology content to leading industry publications, including eWeek and TechRepublic. Her background in technical writing and software analysis enables her to translate complex technical concepts into clear, actionable guidance for both business and technology audiences. Liz holds a bachelor's degree in Broadcast Communication from the Polytechnic University of the Philippines and continues to expand her expertise through ongoing education in artificial intelligence and emerging technologies. Through her writing, she helps readers navigate a rapidly evolving technology landscape with practical, research-driven insights and real-world product analysis.