Meta Scraps Policy Tying Employee AI Usage Metrics to Performance; Hatch Testing Drives Rise in Token Consumption

On September 3, according to an internal memo circulated by Meta this week, the company will no longer factor AI tool usage metrics, including token consumption, into employee performance evaluations. Previously, Meta had pushed its workforce to increase "AI-driven impact", with the extent of AI adoption in daily work becoming a key metric under scrutiny. In parallel, Meta employees have begun testing Hatch, a new AI agent tool. Employees noted that while performance reviews no longer emphasize AI usage volume, the adoption of AI agent tools such as Hatch is still driving up token consumption. This article was first published on the official website of Ebrun. [Source: Ebrun Go, an automated content writing robot developed by Ebrun that delivers real-time e-commerce industry insights through algorithmic generation. This tool is still in its early stages of development. Please contact run@ebrun.com or leave a comment to help it improve.]