Meta slashes jobs in its AI operations (www.axios.com)

Meta is cutting roughly 600 roles within its superintelligence lab — impacting FAIR (Facebook AI Research), product AI and AI infrastructure teams — while continuing to hire aggressively for its newer TBD Lab, Axios reports. In an internal memo, Meta’s chief AI officer Alexandr Wang framed the move as a de-bureaucratization effort to make teams smaller and more “load-bearing,” reducing meetings and accelerating decision-making. U.S. employees were informed of potential job impacts in a coordinated notice, and Meta is encouraging internal redeployment, saying most affected staff should be able to find other roles within the company. For the AI/ML community this signals a strategic shift from broad, legacy research units toward a concentrated, faster-moving superintelligence effort at TBD Lab. Technically, trimming FAIR and infra teams could disrupt longer-term research pipelines and platform engineering, while concentrating resources and high-profile hires (including former OpenAI researcher Ananya Kumar and Thinking Machines co-founder Andrew Tulloch) into TBD suggests Meta prioritizes rapid productization and scaled model development. The restructuring also highlights talent and compensation dynamics in the industry: Meta still competes for top researchers but appears willing to reallocate pay and roles to align with a leaner, impact-driven org focused on building at scale.