The Skills You Need for AI Aren't the Ones You'd Expect.

When executives across Durham Region and the Greater Toronto Area ask me, “What do I need to build AI into my business?”, they usually expect me to talk about technical skills, data scientists, prompt engineers, and the like. Those roles matter, and you will need specialists for the technical work. But the capability that most determines whether AI actually takes hold in your organization is not technical at all. It is leadership, and it is the piece almost everyone overlooks.

I have spent more than 35 years in senior executive roles at organizations including Honeywell, Johnson Controls, and Armstrong Fluid Technology, leading people through wave after wave of change. AI is the newest wave, and when someone asks me what it really takes to build AI into my business, my answer is that the skills that determine whether your people rise to it are the same durable leadership qualities that have always separated organizations that adapt from those that stall. Let me walk you through exactly what those qualities are.

Why the Missing Skill to Build AI Into My Business Is Leadership, Not Technology

It helps to see where organizations put their focus when they set out to build AI into my business, as clients tend to phrase the goal. According to DDI's research on AI and leadership, most companies concentrate their AI readiness on two areas: AI acumen, the technical skills people need to use the tools, and AI governance, the policies and safeguards that guide their use. Both are essential. But DDI is blunt that they are not enough, and that the overlooked missing piece is AI leadership, the ability to lead people through AI-enabled disruption.

The strain of that gap falls hardest on the front line. DDI's Global Leadership Forecast 2025 found that frontline leaders are 3 times more likely than senior leaders to be concerned about AI, which makes sense: they are the ones who have to secure buy-in on the ground, calm anxious teams, and make the technology work in daily practice. Without leaders equipped to do that, even a well-chosen tool with clean data and solid governance will stall. That is why the skills below matter more than any piece of software.

The Leadership Skills for AI: What to Build in Yourself and Your Managers

When leaders ask me what they need to build AI into my business, as they frame it, here are the specific qualities I would develop, in yourself first and then throughout your leadership ranks. Notice that almost none of these leadership skills for AI is about the technology itself, and every one of them can be learned, which is what makes it realistic to build AI into my business on a foundation of people rather than tools.

1. Change leadership. This is the core capability, the ability to guide people through disruption without losing them along the way. DDI's Global Leadership Forecast 2025 identifies managing change as one of leaders' two greatest skill gaps, with only 22% of HR teams prioritizing it, which is exactly why so many technology efforts fail. If you build one skill, build this one.
2. A clear vision, and the communication to share it. Your people need to understand where AI is taking the organization and why it matters to them. The ability to paint that picture in plain language, repeat it, and connect it to everyday work is what turns anxious uncertainty into shared direction.
3. Enough AI literacy to lead, not to build. You do not need to write code, but you do need to understand what AI can and cannot do, where its risks lie, and what good looks like, so you can make sound decisions and ask your specialists the right questions. Leading AI does not require becoming a technologist; it requires being an informed, curious decision-maker.
4. Adaptability and a learning mindset. AI is moving fast and will keep changing, so the leaders who thrive are the ones comfortable with ambiguity and genuinely willing to keep learning. Modeling that openness gives your people permission to experiment and grow rather than freeze.
5. Emotional intelligence to manage fear and resistance. Many people quietly fear AI will replace them, and that fear is the single biggest killer of adoption. DDI's research stresses that successful AI adoption requires cultural transformation and more empathetic leadership. Reading how your people feel, addressing it honestly, and involving them is a leadership skill, not a soft nicety.
6. Sound, responsible judgment. Building AI into a business raises real questions of ethics, data, and risk. Strong leaders balance the drive to move quickly with the discipline to do it responsibly, making thoughtful decisions rather than either freezing in caution or charging ahead recklessly.
7. The ability to develop and empower your managers. Since your frontline and middle managers carry the heaviest load of adoption, your own most important skill may be developing theirs. Building their capability, and their trust in you, is what lets a change spread through the whole organization rather than stalling at the top.

What Should I Be Honest With Myself About Before I Build AI Into My Business?

Let me be straight about a few things, because there is a lot of noise around AI right now. First, the good news: every one of the leadership qualities you need to build AI into my business is developable. They are not innate gifts you either have or lack; they are skills that can be built with deliberate development, which means the leadership readiness your organization needs is entirely within reach. That is genuinely encouraging, because it puts the outcome in your hands.

Now the honest caveats. Leadership skill does not replace the technical foundation. You still need the right tools, clean data, and real specialists to build and run them, and this article is about the leadership half of the equation, not a substitute for the technical half. If you want the practical, step-by-step side of a rollout, that is a separate discipline worth treating on its own.

Knowing what it takes to build AI into my business means being clear-eyed about that division of labour. It is also worth naming a counterintuitive truth from DDI's research: as AI, automation, and hybrid work accelerate, the interpersonal skills you need to build AI into my business, human connection chief among them, become more important, not less, because trust and relationships are exactly what technology cannot replace.

Finally, be honest with yourself about which of these skills you and your leaders actually have, and which need work, because that self-awareness is where real development begins. If you want help building these leadership qualities in yourself and your team, the practical next step is a straightforward conversation, and it starts with the fundamentals covered in our guide on how to develop better leaders. You can also learn more about Malcolm Gurley and why organizations choose Gurley Leadership Solutions.