Meta has flushed out billions of dollars to bring young prodigy Alexander Wang to the helm of the company’s AI division. However, according to a report by the Financial Times, the tech wunderkind now believes CEO Mark Zuckerberg’s micromanagement of the company’s AI push is “suffocating.”
What exactly is the problem?
Behind the scenes, Alexander Wang has reportedly complained to associates that Zuckerberg’s tight grip on the effort is stifling progress, the Financial Times reported, citing multiple people familiar with the situation.
Wang’s unhappiness is just the latest manifestation of the internal upheaval engulfing Meta, which has been beset by repeated layoffs, senior executive exits, rushed AI rollouts and eye-popping spending that has shaken morale and fueled investor anxiety.
How did alexander join Meta?
In June 2025, Meta announced that Alexander Wang will take charge of its AI strategy through the newly formed Superintelligence Labs. This is a division designed to unify all of Meta’s AI research, infrastructure, and product development efforts. Alexander Wang wasted no time reorganizing Meta’s sprawling AI ecosystem. In an internal memo, he wrote: “Superintelligence is coming, and in order to take it seriously, we need to organize around the key areas that will be critical to reach it which are research, product, and infrastructure.”
This reorganization splits Meta’s AI initiatives into four key focus areas, aimed at accelerating progress toward general-purpose, superintelligent systems which is the next major frontier in AI technology.
Why the Move Mattered?
Meta’s $14.3 billion investment in Scale AI was not just about acquiring a company. Scale AI’s expertise in data annotation pipelines, infrastructure, and scalable training systems gives Meta a significant advantage in building powerful AI models. Moreover, as competitors like OpenAI, Google DeepMind, and push the boundaries of AI, Meta’s partnership with Wang positions it to compete head-to-head in the race toward artificial general intelligence.
