In a bold move underscoring Meta’s growing ambition in artificial intelligence, CEO Mark Zuckerberg has appointed Alexandr Wang, the 28-year-old founder of Scale AI, to head the company’s newly established Meta Superintelligence Labs. The hire comes as part of a $14.3 billion deal, marking one of the largest AI leadership acquisitions in recent history.
Wang’s rise embodies the quintessential Silicon Valley success story. Born in New Mexico to Chinese immigrant physicists who worked at the Los Alamos National Laboratory, Wang showed an early passion for mathematics and computer science. He enrolled at MIT but dropped out in 2016 to build Scale AI, a startup that would revolutionise how companies train machine learning models by providing high-quality annotated data.
Under Wang’s leadership, Scale AI quickly became a critical partner for tech giants including NVIDIA, Amazon, and Meta, supplying them with advanced data infrastructure. By 2024, the company had reached a $14 billion valuation, making Wang one of the youngest billionaires in the AI industry.
In June 2025, Meta announced Wang’s appointment to lead Superintelligence Labs, a new division tasked with unifying the company’s fragmented AI research, infrastructure, and product development. In an internal memo, Wang wrote:
“Superintelligence is coming, and in order to take it seriously, we need to organise around the key areas that will be critical to reach it—research, product, and infrastructure.”
Wang has already begun reshaping Meta’s AI ecosystem, breaking it into four strategic focus areas aimed at accelerating the company’s march toward general-purpose superintelligent systems — a goal shared by rivals like OpenAI and Google DeepMind.
Meta’s $14.3 billion partnership with Scale AI is not merely a purchase but a strategic alliance. The acquisition brings Scale’s data annotation pipelines, infrastructure, and scalable training systems under Meta’s control—a significant advantage as AI systems grow increasingly data-hungry and computationally demanding.
