Every organization says it wants “top talent.” High performers. Future leaders. The best of the best.

But in a market shaped by AI-generated applications, rising volume, and decreasing differentiation, what does that actually mean?

As more candidates look strong on paper, organizations are facing a new challenge: how do you identify who is actually right for your business, team, and context?

Psychology shows that under information overload, confidence tends to rise faster than accuracy.

So in a world of more data, more applications, and more polish, what actually helps organizations make better hiring decisions?

In this session, we’ll explore how hiring is changing in the AI era, why traditional processes are struggling under abundance, and what this means for how organizations think about talent, performance, and selection going forward.