Executive Hiring in the AI Era: Why the Wrong Hire Can Cost Millions

In this episode of UC Today, host Kristian McCann is joined by Nada Usina, CEO of NU Advisory Partners, to explore how AI is fundamentally changing executive hiring. As technology rapidly changes the skills workforces need, organizations can no longer rely solely on traditional hiring signals like prestigious résumés, familiar career paths, or industry tenure. Instead, companies are being forced to rethink how they identify leaders capable of navigating constant technological disruption. 

Nada explains how AI is reshaping leadership requirements, why adaptability and curiosity are becoming more valuable than experience alone, and how data-driven hiring is helping organizations uncover talent they may have previously overlooked. 

If you're wondering what executive hiring should look like in the fast-moving AI era, this interview provides practical advice on assessing learning agility, critical thinking, decision-making, and future potential, helping organizations build leadership teams equipped for the next wave of business transformation. 

Key discussion points: 
🔵 Why executive roles are evolving every 12 to 18 months and what that means for hiring strategies.  
🔵 How curiosity, learning velocity, adaptability, and critical thinking are becoming more valuable than traditional résumés.  
🔵 Why hiring mistakes create business-wide consequences, from stalled innovation to employee disengagement and lost investor confidence.  
🔵 How AI and data are expanding executive talent pools while helping organizations make faster, more informed hiring decisions.  

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