The nature of executive hiring is changing quietly but profoundly. As AI alters workflows, decision-making, and the responsibilities attached to senior roles, organizations are confronting a widening gap between the leaders they have traditionally recruited and those they now require. A prestigious résumé, recognizable employer, or familiar career path can still matter, but they may no longer reveal enough about whether someone can succeed in a role that is evolving in real time.
In this discussion, Kristian McCann of UC Today is joined by Nada Usina, CEO of NU Advisory Partners, to examine the pressure this places on boards, CEOs, and hiring teams. Usina brings an executive search perspective to a question affecting businesses of every size: how can companies identify people who will lead effectively when the job itself may look very different within a year or two?
The interview explores the limits of experience-led recruitment, the business consequences of getting senior appointments wrong, and the attributes that may matter most in an AI-enabled workplace. It also considers how data, structured assessment, and human judgment can work together to create broader talent pools and more confident hiring decisions.
When Experience Is Not Enough
Usina argues that traditional hiring systems were built for a more stable employment environment:
“Traditional hiring has been really for a world where jobs have changed relatively slowly over time."
That premise is now under strain. In some cases, she notes, roles are changing every 12 to 18 months, while many recruitment processes continue to prioritize whether someone has previously held a closely comparable position.
This creates a problem for employers that recruit solely against yesterday’s organizational chart. Someone may have the right experience on paper, but lack the capacity to adapt as business strategy, technology, and customer expectations shift. For Usina, the more important question is increasingly forward-looking: how does a candidate think, react, and learn in a new environment?
The consequences can reach far beyond one unsuccessful appointment, with Usina explaining,
“Every talent gap is eventually going to become a business gap."
When leadership capability lags behind business needs, innovation can slow, decisions can be delayed, and organizations can become reactive rather than purposeful. Existing leaders may become overwhelmed by future-facing challenges while attempting to rely on what Usina calls “yesterday’s playbook.”
A poor executive hire can also have a significant financial and cultural cost. Customers feel the effects of unclear decisions, teams lose trust and engagement, and investors notice when a company’s leadership is failing to keep pace. Yet Usina also highlights the danger of indecision. Missing an exceptional candidate because an organization cannot define what it needs can be even more expensive than making the wrong choice.
Assessing Adaptability, Curiosity, and Judgment
The remedy begins with a clearer definition of future success. Rather than starting with the current organizational chart or an attachment to familiar candidate profiles, companies should align around their future strategy and the outcomes they need a leader to deliver. This means identifying the key performance indicators that matter ahead, including those that may not yet have been achieved.
Usina identifies curiosity as a particularly valuable quality. Career moves should not automatically be interpreted as a lack of loyalty. Instead, hiring teams should understand what candidates learned from changes in industry, business scale, or role. However, curiosity alone is not enough. Candidates must also demonstrate impact, including evidence that they stayed long enough to make a meaningful contribution and can explain what changed because of their work.
Learning velocity is another critical measure. Employers should probe candidates’ successes and failures rather than accept broad claims about resilience. “What did you learn?” is a more revealing question than simply asking whether an individual has faced setbacks. The answer can show whether a leader converts experience into improved judgment and action.
Technology and data can support this process by helping employers find less obvious candidates and assess a broader market. Usina is clear, however, that data should strengthen rather than replace human judgment. Structured interviews, references, and triangulation are essential. Organizations should test whether claims of adaptability, learning, and impact are confirmed by colleagues and stakeholders. The strongest processes combine technology with human evaluation to build conviction around a decision.
A Hiring Model Designed for What Comes Next
The interview makes the case for executive hiring that is more strategic, evidence-led, and willing to look beyond familiar networks. AI can help companies map a larger pool of potential leaders, but its value lies in using that visibility to identify people with the capabilities to meet a specific future challenge.
Speed matters, too. Long executive search processes can reduce momentum and risk losing strong candidates. Usina points to time to hire, pool diversity, and employee retention as useful indicators that a hiring process is improving. A broader, better-defined search can give organizations more options while helping teams see that leadership decisions are being made with clarity and intent.
The central lesson is that organizations cannot hire for a changing future by relying exclusively on the signals of the past. The leaders most likely to thrive may not be those who claim to know everything already. As Usina concludes, they may be the people “who are going to learn probably the fastest.”
