Meta cutting 600 AI jobs even as it continues to hire more for its AI work

Meta is cutting roughly 600 AI jobs even as it keeps hiring in other parts of its AI organization. The move shows how uneven internal AI spending can look in practice: some groups shrink while others receive more resources and strategic attention.

According to the report, the cuts affect parts of FAIR and product-related AI and infrastructure teams, while newer work tied to Meta's latest model efforts remains protected. That suggests the company is not retreating from AI, but reallocating talent toward programs it views as more central.

This kind of reorganization is becoming common across major AI firms. As the cost of training, deployment, and product integration rises, companies are under pressure to narrow focus and concentrate headcount on the parts of the stack they believe will matter most.

For Meta, the headline is not simply job cuts. It is the contrast between consolidation in older units and continued investment in newer labs, which highlights how fast AI priorities can shift inside even the largest platform companies.