Meta has made AI tool adoption a formal component of employee performance evaluations as of 2026. Internal targets set by the company require 65% of engineers in the Creation organisation (Facebook, WhatsApp, Messenger) to produce more than 75% of their committed code using AI tools by H1 2026. The Scalable Machine Learning division targets 50-80% AI-assisted coding by February 2026. Company-wide, Meta aims for 55% of all software engineering code changes to be “agent-assisted,” with 80% adoption of general AI tools among mid- to senior-level engineers in central product teams.
Up to 15% of performance appraisals are reportedly weighted toward AI-related achievements, directly influencing bonuses, promotions, and job security. The policy follows multiple rounds of layoffs at Meta since 2023.
The India dimension is significant: an estimated 650,000 routine tech roles in Bengaluru, Hyderabad, Chennai, and Pune face displacement pressure as AI-assisted development reduces headcount requirements for outsourced and entry-level coding work.
Relevance to the AI Gap thesis: Meta’s mandate is one of the clearest corporate examples of AI literacy becoming a condition of employment rather than an optional skill. It demonstrates the dynamic that scoring dimensions 6 (employer training obligation) and 8 (pre-redundancy training) are designed to address: companies are requiring AI proficiency while simultaneously reducing headcount, without a corresponding obligation to retrain affected workers. The policy makes the case that voluntary corporate AI adoption, without regulatory guardrails on workforce transition, creates a two-tier system — those who adapt keep their jobs; those who do not are displaced with no mandated support.