For most of human history, knowledge was scarce. Those who possessed it held an enormous advantage. Education, experience, and the ability to recall information distinguished experts from everyone else.
I have spent my professional life designing complex systems and leading engineering teams. My instinct has always been to study more, understand more deeply, and challenge the boundaries of my knowledge.
I have no intention of abandoning that curiosity.
However, artificial intelligence has changed how we work.
We now live in a world where any employee can access expert knowledge, careful reasoning, and specialized technical skills within seconds. Organizational structures that once required layers of managers to coordinate information and people are becoming flat.
This raises an interesting question: when knowledge is available to everyone, what makes a leader valuable?
I remember the movie The Intern, starring Robert De Niro. His character, Ben Whittaker, is an older gentleman entering a modern technology company. Yet he brings something rare: composure, judgment, kindness, discretion, and an intuitive understanding of people. He listens before speaking, and when he does speak, his words carry wisdom, not just knowledge.
He eventually earns the respect of everyone he interacts with.
I found myself wondering whether these qualities might become more valuable, rather than less, in the age of artificial intelligence.
I am beginning to recognize something I may have undervalued. Decades of engineering, leadership, successes, mistakes, difficult decisions, and working with people have produced something that cannot be acquired through a few years of intensive study.
It is not simply accumulated knowledge. It is judgment, intuition, and the ability to recognize patterns across disciplines and human situations. These abilities have been trained through thousands of real experiences, often at considerable personal and organizational expense.
A small language model can be trained in hours or days. Developing this kind of human intuition takes decades. I do not claim perpetual human superiority; the AI will exceed even that. I am assessing what is needed today and for 2027.
While AI helps us coordinate increasingly complex work, leadership remains deeply human. People need trust, purpose, mentorship, intellectual honesty, and someone willing to take responsibility when things go sideways.
AI can answer an engineer’s question. It cannot see what that engineer could become, or hand them the harder problem that makes them grow. The most lasting work of a leader is building people, helping a developer become a valued senior staff member.
The most effective leaders orchestrate teams of talented people supported by powerful AI systems. Our competitive advantage is not the number of employees, but the quality of questions, decisions, and the outcomes our organizations produce.
Technical understanding remains essential, particularly when evaluating systems that can generate convincing answers. Yet memorizing every algorithm matters less than knowing how to question its assumptions and verify its results.
The future belongs to the leader whose value we are only beginning to appreciate: a mentor who is technically literate, intellectually curious, emotionally mature, and capable of bringing human and artificial intelligence together.
The finest leaders resemble Ben Whittaker more than we expect. Not because they know everything, but because they understand life through their experience.
The realization, for me, is that much of what the future demands has taken a lifetime to develop. That lifetime of experience is becoming more valuable, not less.
First published on Substack.