Hiring for Signal in an AI-First World

As AI tools become ubiquitous, the signals we’ve historically relied on to evaluate early talent are breaking down. Polished answers are easier to generate, coding can be assisted, and traditional indicators of readiness are becoming less reliable. So what actually matters now? This session explores how hiring teams are redefining evaluation in an AI-first world ~ what skills are becoming commoditized, what’s becoming harder to fake, and how to assess for real problem-solving ability, learning velocity, and judgment. We’ll dig into how interview loops, assessments, and hiring criteria are evolving and what it takes to identify high-potential talent when the bar is constantly shifting.