Alexandr Wang

Wang grew up, in Wang's own words to Congress, "in the shadow of the Los Alamos National Lab," and has described the national security mission as a personal one.5

As a student, Wang won medals in national math, computing, and physics competitions, including the USA Math Olympiad, USA Physics Olympiad, and USA Computing Olympiad. Wang went on to study machine learning at the Massachusetts Institute of Technology, then left to found Scale AI.23

Wang founded Scale AI in 2016, at age 19, while a student at MIT. As Wang later told Congress, Scale was founded "with a mission to accelerate the development of AI."15

As chief executive officer from 2016 through June 2025, Wang built Scale into what Expedia Group's proxy statement describes as a leading test and evaluation partner for artificial intelligence companies. Meta credits Scale's work with contributing to the development of most every leading model across the industry.21

On July 18, 2023, Wang testified as Scale's chief executive officer before a subcommittee of the House Armed Services Committee, at a hearing titled "Man and Machine: Artificial Intelligence on the Battlefield." Wang urged the United States to adopt and integrate new AI technology rapidly and effectively to support national security.56

That same summer Wang joined the board of Expedia Group as an independent director, elected effective June 1, 2023. Expedia's board cites Wang's extensive technology experience and expertise, including in artificial intelligence and machine learning.32

In June 2025 Wang joined Meta as the company's first-ever Chief AI Officer, leading Meta Superintelligence Labs (MSL). Announcing the move, Scale said Wang would remain a director on its board and continue to support the company, and interim CEO Jason Droege spoke of realizing Wang's vision of bringing the benefits of AI to everyone.14

In April 2026 MSL introduced Muse Spark, the first in the Muse family of models and the first product of what Meta calls a ground-up overhaul of its AI efforts. Meta describes Muse Spark as a natively multimodal reasoning model that supports tool use, visual chain of thought, and multi-agent orchestration, and it powers the Meta AI app and meta.ai. Meta framed the launch as scaling towards personal superintelligence.78

In August 2026 MSL released Muse Glimmer, an open-weight model built for agents that run locally on a Mac or a single consumer GPU, under the Apache 2.0 license, which Meta calls the most permissive license it has used for an open model. In September 2026 Meta introduced Muse, a personal AI agent powered by Muse Spark that completes tasks on a dedicated, secure cloud computer.910