June 12, 2025 — cyberinktimes.com — The man leading Meta’s new superintelligence lab is Alexandr Wang, the founder of Scale AI. Meta now owns a major stake in that company. Wang will leave his own firm to run the lab.
The lab itself is new. The goal is to push past what current AI systems can do.
Meta is an advertising company. In 2023, 97.8 percent of its revenue came from ads. That is nearly every dollar the company makes.
Its platforms — Facebook, Instagram, WhatsApp, Messenger, Threads — all serve that ad machine. The machine needs data.
It needs better targeting, better recommendations, better prediction. That is where Scale AI comes in. Scale AI is not a social media company.
It builds the infrastructure for other people’s AI. It labels data. It trains models.
It helps systems learn to see images, read text, and understand speech. Meta now has a direct line into that work.
More than that, Meta has the person who built that business. Wang’s move is the real story. He is not an advisor.
He is not a consultant. He will lead the lab.
That means the person who scaled one of the most important AI data companies in the world now works inside Meta. His expertise is not in running social networks. It is in making AI systems smarter, faster, and more capable.
The superintelligence lab is a signal. Meta is not just tinkering with AI features. It is building for a future where AI exceeds human intelligence in many tasks.
That is the definition of superintelligence. It is a speculative goal.
It is also the one that the biggest tech companies are chasing. Meta now has a dedicated lab and a proven leader for that chase. What happens next matters for several groups.
First, Meta’s competitors. Google has DeepMind.
Microsoft has OpenAI. Amazon has its own AI efforts. Meta was the one without a flagship AI lab.
Now it has one, led by a founder with a track record of building the tools others rely on. The balance shifts, at least on paper. Second, Scale AI.
The company loses its founder. It gains a major investor in Meta.
That changes the company’s independence. Scale AI will now have a powerful shareholder with its own agenda. Other AI companies that use Scale AI’s services may wonder if their data is safe.
Meta is a competitor to many of them. Third, the broader AI ecosystem.
A superintelligence lab at Meta means more resources poured into long-term research. It means more competition for AI talent. It means another big player trying to solve the hardest problems in machine learning, natural language processing, and computer vision.
The field was already moving fast. This speeds it up. Fourth, regulators.
Meta is already under scrutiny for its size and power. Adding a superintelligence lab to its portfolio raises questions about concentration.
One company will own the largest social graph in the world and a dedicated lab for building the most advanced AI. That combination is new. It will attract attention.
Fifth, users. The platforms Meta owns touch billions of people.
If this lab succeeds, the AI that runs those platforms will change. It may become more predictive. It may become more autonomous.
It may make decisions without human input. That is the promise and the risk of superintelligence. The June 12 announcement was a single day.
The consequences will unfold over years. Meta placed a bet.
It bought a stake in a key supplier. It hired the person who built that supplier. It gave him a lab and a mandate to aim higher.
The rest is execution.
