Your Comp Data Is Already Stale — And AI Is Fixing That

AI salaries in tech can shift 10 to 25 percent in a single year. Yet most companies are still making pay decisions based on survey benchmarks that are 8 to 12 months old. That gap isn't just an inconvenience — it's a talent retention risk hiding in plain sight. In this episode, we break down why the annual compensation survey model is breaking down, what Aon's major upgrade to its Radford McLagan database signals about where the market is heading, and how a new generation of real-time benchmarking tools is changing the game for total rewards teams. We cover the key players — from Pave's HRIS integration model for US tech companies to Ravio and Figures serving European teams ahead of the EU Pay Transparency Directive — and walk through the five criteria you actually need to evaluate these platforms on. Because not every real-time claim means the same thing. If you're a total rewards leader, an HR ops person, or just someone who wants to understand why your best AI hires keep leaving for 20% more somewhere else — this one's worth your time.