Source: Wired
Meta is recalibrating how it measures engineering productivity—shifting from raw "token" output (a proxy for AI model usage that invited gaming) toward broader "AI-driven impact" language. The company burned through a cycle of metric-driven culture that rewarded volume over outcomes and is now correcting course before the metric itself becomes cargo cult theater. The shift surfaces a real tension in AI-first organizations: how to incentivize meaningful AI adoption without creating perverse incentives that inflate usage metrics rather than actual business value.