Meta employees using company's AI chatbot to draft performance reviews
What's the story
Following the recent layoffs in its AI division, Meta employees have started using the company's internal AI chatbot, Metamate, to draft their performance reviews. The tool works like ChatGPT and scans through an employee's documents to summarize their achievements and feedback. While some employees have praised its efficiency, others have noted that it struggles with context and is mainly used for feedback templates.
User feedback
Employees share mixed experiences with Metamate
The internal AI assistant, Metamate, has been used by employees like Joseph Spisak, a Product Director at Meta's Superintelligence Labs. Spisak said he uses the tool to summarize his performance for reviews. "When at the end of the year we do our performance... I call Metamate and it goes and searches all my docs and what I've done and summarizes what I've done for the year," he said. However, some employees have found its output inconsistent without proper context.
AI integration
Meta's AI systems being used for other internal tasks
Along with Metamate, Meta's AI systems are also being used for other internal tasks such as app development and data analysis. The company is also using the tool to generate coworker feedback templates. This comes as part of a larger trend of Silicon Valley giants reimagining workplace productivity through artificial intelligence.
Job cuts
Meta announces job cuts affecting nearly 600 employees
The development comes as Meta has also announced another round of job cuts, affecting nearly 600 employees across multiple AI-related divisions. The layoffs span departments such as AI infrastructure, research, and product integration teams. Despite the job cuts, Meta continues to invest in advanced AI systems and is shifting resources toward "superintelligence" projects.
Future plans
Meta's growing reliance on AI for internal operations
Meta's long-term strategy remains focused on building foundational AI capabilities from research to real-world integration. The company has integrated machine learning into app development, performance tracking, and workflow management. As competition with OpenAI and Google heats up, these developments highlight Meta's growing reliance on AI not just in products but also internal operations.