Meta is making headlines with its boldest move yet in artificial intelligence: launching a new AI superintelligence lab. As of June 2025, CEO Mark Zuckerberg is personally spearheading this initiative, assembling a handpicked team of top researchers and engineers to pursue artificial general intelligence (AGI) and, ultimately, AI superintelligence—systems that would surpass human cognitive abilities across all domains. This marks a dramatic shift in Meta’s strategy, as the company seeks to leapfrog rivals like OpenAI and Google in the race for next-generation AI.
The new lab is not just another research division. It represents a full-scale reorganization of Meta’s AI efforts, with Zuckerberg recruiting around 50 experts—many from leading AI firms such as OpenAI and Google—to form an elite “superintelligence group.” Compensation packages for these recruits are unprecedented, with offers reportedly ranging from seven to nine figures. Some of the world’s most sought-after AI talent are already joining Meta’s ranks.
Why AI Superintelligence? The Vision Behind Meta’s New Lab
The concept of AI superintelligence is both ambitious and controversial. Unlike today’s narrow AI, which excels at specific tasks, or even AGI, which aims to match human intelligence across a wide range of activities, superintelligence refers to AI that far exceeds human capabilities in reasoning, creativity, and problem-solving. Meta’s vision is to integrate these advanced capabilities into its entire product ecosystem, from social media and messaging platforms to AI-powered devices like Ray-Ban smart glasses and its chatbot, Meta AI.
Zuckerberg’s frustration with Meta’s previous AI shortcomings—such as the mixed reception of its Llama 4 model and delays in larger projects—has fueled this aggressive pivot. The CEO is now taking a hands-on approach, personally reaching out to top researchers and even hosting recruitment meetings at his homes in Lake Tahoe and Palo Alto. The urgency is clear: Meta wants to ensure it remains a leader in the rapidly evolving AI landscape.
The Team, The Talent, and The Scale AI Connection
At the heart of Meta’s AI superintelligence push is the recruitment of Alexandr Wang, the 28-year-old founder and CEO of Scale AI. Meta is in advanced talks to invest over $10 billion in Scale AI—its largest external AI investment to date—and Wang is expected to join the new lab, bringing along several of his team members. Scale AI specializes in data labeling and model evaluation, services that are critical for training advanced AI systems. This partnership could give Meta a significant edge in data quality and model robustness.
Meta’s aggressive hiring spree includes dozens of researchers from OpenAI, Google, and other leading AI companies. The company is offering compensation packages that are among the most generous in the industry, reflecting the fierce competition for top AI talent. Some researchers have already accepted these offers, signaling strong confidence in Meta’s new direction.
How Will Meta’s AI Superintelligence Lab Operate?
The structure of Meta’s new AI superintelligence lab remains somewhat secretive, but it is clear that the group will operate with a high degree of autonomy. The lab is expected to focus exclusively on advancing toward AGI and superintelligence, moving beyond the broader research conducted by Meta’s existing Facebook AI Research (FAIR) division. This specialized focus could accelerate progress but also raises questions about internal coordination and the role of long-time AI lead Yann LeCun, who has expressed skepticism about some current approaches to AGI.
Zuckerberg has created a dedicated WhatsApp group called “Recruiting Party” to discuss and identify top talent for the new lab. The CEO himself is often the first point of contact for potential recruits, underscoring the importance he places on this initiative. The goal is not just to catch up with rivals but to surpass them, embedding superintelligent AI deeply into Meta’s products and services.
Challenges and Ethical Considerations
The pursuit of AI superintelligence is not without risks. As AI systems approach or exceed human intelligence, questions about safety, control, and ethical alignment become paramount. Meta’s Chief AI Scientist, Yann LeCun, has publicly stated that he believes humans will maintain control over superintelligent AI, envisioning a “boss-staff relationship” where AI serves human-defined tasks. However, the broader AI community remains divided on the feasibility and timelines for achieving superintelligence, as well as the best mechanisms for ensuring its safe development.
Other challenges include potential job displacement and the profound societal implications of superintelligent systems. Meta’s self-funding model, driven by its robust advertising business, gives it significant autonomy but also places the responsibility for navigating these issues squarely on its own shoulders.
What’s Next for Meta and the AI Superintelligence Race?
Meta’s launch of its AI superintelligence lab signals a new chapter in the global AI arms race. With billions invested, top talent recruited, and a clear mandate to push the boundaries of what AI can achieve, Meta is positioning itself as a major contender for the future of artificial intelligence. The company’s ability to integrate advanced AI capabilities into its vast product ecosystem could redefine user experiences and set new standards for the industry.
However, success is far from guaranteed. The technical hurdles are immense, and the ethical and societal challenges are equally daunting. Meta’s approach—combining massive investment, elite talent, and a hands-on CEO—sets it apart, but the path to superintelligence remains uncertain.
Join the Conversation on AI Superintelligence
The launch of Meta’s AI superintelligence lab is a watershed moment for artificial intelligence. Whether you’re an AI enthusiast, a tech professional, or simply curious about the future, now is the time to get involved. Share your thoughts, ask questions, and stay informed as Meta and its competitors race toward a new era of intelligent machines.