Making Sense of AI as a Leader

As a leader, I don’t see my role as persuading people to love AI. I am not pretending it doesn’t raise real concerns. My role is to help people make sense of it and use it in ways that genuinely improve their work. 

Right now, many teams aren’t struggling with using AI tools. They’re struggling with the uncertainty around them. 

Recent leadership research makes this shift clear: AI is no longer just a technical implementation issue. It’s a real leadership challenge that affects how work is structured, how decisions are made, and how people understand their place in the organization (Lee, 2026; Laker, 2026). 

The Question Leaders Must Address Directly 

There’s a question people are often hesitant to ask out loud: Is AI meant to replace us? 

Avoiding that question doesn’t reduce fear. In fact, it increases it. In conversations I've had with senior organizational leaders over the past year, one point has come up again and again: 

“Our goal with AI is not to replace people. Our goal is to increase productivity per person and remove organizational friction.” 

That means using AI to automate repetitive and routine tasks — the things that slow people down or pull them away from higher judgment, more relational, or more creative work. In other words, the tasks that pull them away from more human work.  

Microsoft’s 2026 Work Trend Index shows that most employees are ready to work alongside AI, but they’re held back by unclear expectations and mixed signals from leadership (Microsoft, 2026). 

Rather than asking, “How fast can we adopt AI?” Leaders should focus on: 

• Where can AI reduce friction in daily work?

• Where does human judgment still matter most?

• Which decisions should always remain human? 

In moments of rapid change, people look for leaders who help them understand what’s changing and why their work still matters. AI delivers value only when people understand how it supports them. 

Leaders don’t need to have all the answers yet, but we do owe our teams clarity, boundaries, and honesty.

References 

Lee, J. (2026). AI is advancing fast, and leadership must keep pace. Forbes.