Meta drops AI-usage metric from employee performance reviews
Meta told staff this week that performance evaluations will no longer be tied to how much they use AI tools, ending a system that had labeled workers 'AI Native,' 'AI First,' or 'AI Enabled' based on chatbot and agent usage. The change comes even as Meta rolls out a new agentic AI tool called Hatch, and employees report their token consumption keeps climbing anyway. The policy shift follows a lawsuit from about two dozen laid-off employees who alleged the AI-usage grading system unfairly penalized workers on health or family leave.
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The reversal suggests Meta is retreating from using raw AI adoption as a proxy for productivity, likely due to legal exposure and internal pushback over unfair evaluation criteria. It also signals a broader tension across tech companies between mandating AI use and measuring genuine business impact, especially as new tools like Hatch get pushed onto workers regardless of formal incentives.
- Meta will no longer grade employees based on AI tool usage or labels like 'AI Native'.
- The change follows a discrimination lawsuit from workers laid off after failing to meet AI usage benchmarks.
- Despite easing the mandate, employees say token usage keeps rising as Meta tests its new Hatch AI agent.
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Published there as: “Meta Pushes Its New AI Agent on Employees—but Eases Off on Tokenmaxxing”
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