Episode Details

Meta just made AI a formal, rated performance metric for every single employee — and the infrastructure they built to track it is more sophisticated than most companies apply to anything else. In this episode, we break down what Meta actually built: Checkpoint, a system that monitors over 200 data points including AI code ratios and tool engagement; Level Up, a gamification layer that normalized AI adoption before the stakes got formal; and an AI Performance Assistant that helps employees use AI to argue how well they used AI. Yes, really. It's a full ecosystem — and it's already setting the template for the rest of corporate America. We also look at how Unilever is approaching the same underlying problem from a different angle — less quantified, more outcome-driven, but pointing toward the same destination. And we get honest about the real risks HR leaders can't ignore: gaming the metric, fairness gaps for roles that don't naturally benefit from AI tools, and the privacy questions that come with 200-point monitoring systems in jurisdictions that actually have employee protections. For HR leaders watching this, the question isn't whether this shift is coming — SHRM data says 42% of organizations are already using AI in their talent strategies, more than double last year. The question is whether you get ahead of it deliberately or inherit a measurement system that's measuring the wrong things. This episode gives you the framework to think it through before the pressure arrives.