The Human Leadership Advantage in the Age of AI - The European Business Review
The Human Leadership Advantage in the Age of AI - The European Business Review
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From TEBR
The Human Leadership Advantage: What Will Matter More in the Age of...
From TEBR
Leaders in the AI Age
TEBR Observer
The Human Le
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From TEBR
The Human Leadership Advantage: What Will Matter More in the Age of...
From TEBR
Leaders in the AI Age
TEBR Observer
The Human Leadership Advantage: What Will Matter More in the Age of AI?
September 8, 2026
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As AI takes on more analysis, decision support and knowledge work, what becomes more valuable in a leader? For the inaugural TEBR Big Question, we asked leaders, academics and practitioners to name one skill. Their answers suggest that AI is not diminishing the importance of leadership. It is changing where its value lies.
Artificial intelligence is getting very good at producing answers.
It can analyse information, summarise documents, generate strategies, write code, identify patterns and increasingly take action on a user’s behalf. In Microsoft’s 2026 Work Trend Index, analysis of more than 100,000 Microsoft 365 Copilot conversations found that 49% supported cognitive work such as analysing information, solving problems and thinking creatively. Meanwhile, 66% of surveyed AI users said AI had allowed them to spend more time on high-value work.
That raises a different kind of leadership question. If machines increasingly handle the work of generating information and executing tasks, what are leaders left to be exceptionally good at?
For the inaugural
TEBR Big Question
The European Business Review
asked business leaders, academics and practitioners:
What ONE leadership skill will become more valuable because of AI — not less?
The answers varied. Judgment, empathy, curiosity, adaptability, rapport, intuition, self-leadership, deliberate thinking and even the ability to lead AI itself all emerged.
But there was a clear centre of gravity: judgment.
What was striking was not simply how often judgment appeared, but how many forms it took. Contributors described it as the ability to challenge AI, contextualise its outputs, recognise what data misses, weigh competing values, determine whe