For centuries, leadership authority was rooted in expertise. The captain knew how to navigate. The general knew tactics. The executive knew the market. Expertise was scarce and valuable, and it was the foundation of leadership power.
That era is ending. A 2025 SAP survey found that 55% of executives say AI insights routinely replace traditional decision-making. An IBM 2025 CEO study showed that 61% of CEOs are actively adopting AI agents to support strategic decisions. This means that the decision recommendations are coming from algorithms, not from a leader's years of experience.
This creates a fascinating leadership challenge. If the data, analysis, and recommendations are coming from AI, what is the leader actually contributing? The answer is not nothing—far from it. But it requires a fundamental shift in how leaders think about influence and authority.
Gartner's 2025 research identified the human capabilities that remain decisive differentiators: communication, resilience, critical thinking, and the ability to mobilise people toward a shared goal.
Three New Leadership Muscles
The judgment muscle. AI gives you options. It gives you analysis. It doesn't give you wisdom. A leader's job is to look at what AI recommends and exercise judgment: Is this right for our situation? What's the AI missing? What matters beyond what the algorithm can see? When should we override the recommendation? This requires understanding not just the answer but the question. A leader who can exercise judgment well will make better decisions than one who simply implements what the AI suggests.
The storytelling muscle. Data doesn't move people. Stories do. When a leader has an AI recommendation but needs the organisation to act on it, storytelling is what mobilises people. This isn't about manipulating or spinning. It's about taking data and making it human. About helping people understand what the recommendation means for them, why it matters, what the implications are.
The conviction muscle. There will be moments when the data suggests one direction, but a leader's instinct—rooted in deep knowledge, values, or long-term vision—suggests another. These moments are when true leadership shows up. Not constantly overriding AI recommendations, but being willing to exercise conviction when it matters. And being able to articulate why.
Practising the New Leadership
Document your judgment calls. When you receive an AI recommendation, before you decide whether to accept or override it, write down your thinking: What is the AI recommending? What's your instinct? What's the basis for your instinct? Why would you override or accept the recommendation? Over time, this becomes a record of your judgment and where it's been right.
Develop your "so what?" muscle. AI generates insights. You generate meaning. When you have data, practice asking "So what?" What does this mean? Why should people care? What should change as a result? This is storytelling in miniature. It's the bridge between data and action.
Invest in your own learning and curiosity. You don't need to become a data scientist or an AI engineer. But you need to understand how AI systems work well enough to know when to trust them and when to question them.
Try This
When you receive an AI recommendation, before you decide, write down your thinking: What's the recommendation? What's your instinct? What's the basis for that instinct? Over time, this becomes a record of your judgment and a way to learn when your instinct is trustworthy.
Practice the ‘so what?’ conversation. Take a data point or AI insight and ask: So what? What does this actually mean? Why should people care? What should change? Write your answer down. This is the bridge between data and human meaning—your unique leadership contribution.
Invest time in understanding how the AI systems you rely on actually work. Not the math, but the basics: What data is it using? What are its limitations? When might it be wrong?
References
Gartner (2025) Top Strategic Technology Trends for 2025. Stamford, CT: Gartner Inc.
IBM (2025) CEO Study: AI and the enterprise. Armonk, NY: IBM Institute for Business Value.
SAP (2025) Pulse of AI: Executive decision-making in the AI age. Walldorf: SAP SE.
Sinek, S. (2009) Start with Why: How Great Leaders Inspire Everyone to Take Action. New York: Portfolio.