Meta has confirmed a 20% company-wide headcount reduction affecting approximately 15,600 jobs, with internal sources claiming leadership is modeling 2-3x more cuts long-term for a total 40-60% workforce reduction. The company has allegedly been running covert 'knowledge extraction sprints' recording engineers' workflows, debugging processes, and decision trees 24/7 to train AI agents that can replicate their work 40% faster. Meta's strategy reportedly involves converting 15+ years of engineering expertise into structured training data to replace human engineers with AI agents and skeleton crews. This represents a shift from traditional cost-cutting to systematic AI-driven workforce replacement using employees' own captured knowledge.