When I was Chief of Staff to the Chancellor at Vanderbilt University, I was part of one of the most momentous days in the university’s history, the day the securitization deal went through. Specifically, it was the day that a $1.4B check was deposited into Vanderbilt’s account that would grow the endowment by 30%. I remember being remarkably surprised by the process. To protect against fraud, the security measures were surprisingly simple. The transaction was conducted through a series of in-person visits and surprise office land line phone calls, allowing people to confirm that real individuals, who were not under duress, were handling the monetary exchange. It seemed to be the equivalent of someone walking in with a briefcase full of cash. No computers, no messaging, just people talking and standing face to face with other people.

That moment feels almost radical today.

Executive search, particularly in higher education, is increasingly framed as a problem of efficiency. Artificial intelligence promises faster analysis, broader reach, and cleaner comparisons. Some argue that human led search is becoming obsolete. That assumption weakens under scrutiny. High stakes leadership decisions leave little room for abstraction.

Universities are operating under unprecedented scrutiny, financial pressure, political complexity, and cultural change. The leaders capable of navigating that environment rarely follow predictable paths. Pattern recognition alone cannot evaluate readiness for this level of responsibility. Leadership failure in higher education carries consequences measured in years, not quarters. Judgment still matters more than automation.

Gone are the days when the path to becoming a university president followed a straight line from tenured professor to chair, dean, provost, and president. Today’s leaders face external demands that would have been unthinkable a generation ago. The experiences that prepare someone to lead in this environment are broader, more situational, and often non‑linear.

Experience and a deep appreciation for the academy still matter. Once candidates reach a certain level, hard credentials stop differentiating. Leadership success increasingly depends on qualities that do not appear on a resume: judgment under pressure, the ability to unify divided stakeholders, credibility with external audiences, comfort navigating ambiguity without losing momentum.

Executive search therefore requires more conversation, not less. It requires real interviews and sustained interaction. It requires time spent understanding leadership style, decision-making approach, and cultural fit in context. What works at one campus in one state may fail entirely at another. Human connection remains the only way to uncover those distinctions across a search process.

It is time to return to the fundamentals of executive search. This does not mean rejecting technology. It means refusing to let technology lead. Tools can organize information, surface patterns, and improve efficiency. Tools cannot independently assess trust, institutional alignment, or leadership readiness.

The most effective searches begin with a deep understanding of the university itself. Culture, aspirations, constraints, and people all matter. The same level of care must be applied to engaging candidates as complete leaders rather than as collections of data points. Clients rely on executive search partners to assess skills, leadership attributes, and institutional fit holistically, informed by multiple touchpoints over time.

Technology should make this work faster and more precise. Technology should not replace judgment earned through experience, context, and sustained personal interaction. When advanced tools are paired with disciplined, relationship-based assessment, search committees gain clearer insight and make stronger decisions.

At its core, executive search is about people, trust, and alignment. That reality has not changed. The cost of getting leadership wrong has increased.

The future of executive search is neither nostalgia nor automation for its own sake. It is disciplined human judgment strengthened by data and delivered at speed. Boards and search committees should expect partners who use AI to remove friction while relying on experience to decide who leads. They should expect accountability that extends beyond the appointment and partnership that endures through outcomes.

Higher education does not need more data points. It needs better decisions. Those decisions happen when technology supports human judgment rather than replacing it.