// team structure

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Meta's Applied AI team battles culture clash in pursuit of superintelligence

Meta created a dedicated 200-person team in March to operationalize breakthroughs from its Superintelligence Labs, but the unit is already fracturing over competing visions: researchers want moonshot projects while leadership assigns incremental infrastructure work, the kind that keeps existing products running. The friction exposes a structural problem in how tech companies scale AI ambition. Elite researchers hired into a support function tend to leave. The gap between aspirational mission statements and actual work allocation becomes a recruiting and retention liability. Meta risks losing talent to competitors like OpenAI and Anthropic that offer more focused research agendas. The talent war in AI is as much about internal organizational design as external poaching.