Meta is increasingly weaving artificial intelligence into its internal operations, even as it trims parts of its workforce. Just days after reports of the company laying off around 600 employees across its AI division, Meta is now reportedly encouraging remaining staff to use its internal AI chatbot, Metamate, to help prepare their year-end performance reviews.
According to Business Insider, Meta has begun asking managers and employees to leverage Metamate — an internal tool similar to ChatGPT — to review performance and summarise achievements. Built as part of Meta’s growing suite of AI-powered enterprise tools, Metamate can sift through internal documentation, project notes, and feedback to generate concise summaries that assist employees during the appraisal process. The company is pitching the system as a productivity tool that can simplify one of the most time-consuming parts of corporate life — writing self-assessments and peer reviews.
At the TechEquity AI Summit in Sunnyvale, California, Joseph Spisak, Product Director at Meta’s Superintelligence Labs, described his personal experience using the tool. He said Metamate can “search all my docs and what I’ve done and summarise what I’ve done for the year and my accomplishments and feedback on me,” calling it “great.” According to Spisak, the chatbot acts as a personal work historian, compiling detailed, structured records in seconds that would otherwise take hours to prepare.
However, Business Insider notes that Meta has not made Metamate use mandatory. Adoption levels vary across teams — some rely on it heavily to draft evaluations, while others use it merely as a template generator. Employees told the publication that while Metamate is useful for organising thoughts and feedback, it often lacks deep contextual understanding of specific projects, requiring users to manually refine and verify the AI’s summaries.
The development follows a difficult period for Meta employees. The company recently laid off around 600 workers from its AI infrastructure and Fundamental AI Research (FAIR) teams, as part of what CEO Mark Zuckerberg has termed Meta’s “year of efficiency.” The move aims to streamline operations, reduce management layers, and accelerate innovation across its AI initiatives.
In an internal memo, Chief AI Officer Alexandr Wang described the restructuring as a necessary step toward creating a more agile, high-impact organisation, allowing remaining employees to take on broader responsibilities while eliminating bureaucratic inefficiencies.
