'Impact-evidence' | Meta links employee AI usage to performance reviews & rewards

Meta is changing expectations around employee use of artificial intelligence, tying performance reviews and bonuses more closely to how workers deploy AI tools in their daily roles.

At an all-company meeting last month, leaders outlined changes to Meta’s performance management system that connect ratings and incentives to evidence of AI-driven output.

Central to the approach is an AI-powered performance tracker known as Checkpoint, which aggregates data from systems employees already use, including Google Workspace, to summarize individual contributions and speed up review preparation.

How AI shapes performance reviews

For software engineers, Checkpoint examines how many lines of code are generated using AI tools, alongside more than 200 additional data points. Those include error rates, the number of bugs tied to an engineer’s work, and how much code is written without AI assistance.