The principles of good leadership don’t change — not even with AI. The priorities do, and leadership matters more than before. Because one thing is not up for debate: handing decisions to algorithms that no one can follow anymore.
Start with what stays. The principles of good leadership are old and still hold: give direction, set goals, show appreciation, develop people, meet others as equals. No technology changes that.
The mechanics stay too. Transactional leadership carries the daily business; transformational leadership changes the system. Leadership is situational — it needs both, not one in place of the other.
What has shifted is the perspective. Over twenty years, leadership has moved from command and control to trust and responsibility. Participation went from concession to instrument. And with the pandemic came a facet rarely named before: empathy.
At the same time, leadership matters more. Our systems grow more complex — direction becomes more necessary, not less. Our environment grows more dynamic — decisions and execution have to come faster. What we observe is the opposite: decisions take longer, execution stalls. This is the dilemma leadership has to resolve.
Resolving it means two things. Leadership has to redefine work and deliberately design the combination of human and machine. One line stays inviolable: human in the loop — the person stays inside the decision. AI can prepare decisions. It cannot make them.
That sounds reassuring, but it sharpens the problem. The more AI prepares, the greater the volume of information before every decision — more options, more analyses, more scenarios. What is meant to help can paralyze. And it feeds the hesitation that is already growing.
This makes one capability central to leadership in the age of AI: decisiveness. It is the ability to move from ever more preparation to a decision — and to carry it out. Not fast for the sake of speed, but resolute where others sink into the material.
Leadership in the age of AI pulls in two directions at once. It has to become more decisive — and more human. The two belong together: the more the machine prepares, the clearer the human has to decide. And the more it takes over, the more leadership shows where the machine cannot reach — in judgment, empathy, and the responsibility for a decision. Not more human despite AI. Because of it.