Alexandr Wang

Alexandr Wang is one of the most consequential figures shaping the AI industry today. At 19 he founded Scale AI, turning the unsexy problem of data labeling into a $14B company that became the infrastructure backbone for nearly every major frontier AI lab. His core insight: data quality is the bottleneck, not model architecture. That bet proved prescient and fueled a virtuous flywheel of partnerships with OpenAI, Meta, the U.S. Department of Defense, and dozens of enterprises.

In early 2025, Meta acqui-hired Wang and a cadre of Scale AI talent in a deal valued at $4.3 billion, installing him as Head of Meta Super Intelligence Labs. The mandate: build artificial super intelligence. Zuckerberg was betting that Wang's combination of systems thinking, data obsession, and recruiting magnetism could accelerate Meta's position in the AGI race against OpenAI, Google DeepMind, and Anthropic.

Across four long-form interviews, Wang reveals a mind that operates at the intersection of technical depth and strategic abstraction. He thinks in flywheels, not features. He frames markets as infinite, not zero-sum. He consistently returns to a first principle: the people you hire and the quality bar you set determine everything else.