Leaders everywhere are being asked to deliver AI-driven change. New tools, new budgets, big expectations. But what will set successful leaders apart isn’t how much technology they deploy. It’s how well they develop the human capabilities that turn tools into impact.
You can approve funding. You can set priorities. But results only happen when people trust the direction, feel ownership in the work, and can speak up when the truth is uncomfortable. That’s because real transformation comes from human, not artificial, intelligence.
AI makes human capability more important, not less. It changes how decisions get made and who has insight worth hearing. It rewards leaders who build alignment early, learn fast, and create space for others to contribute.
This is a pattern we have seen before. Every major technology wave creates urgency. And urgency leads to shortcuts.
During the dot-com years, companies rushed to build websites because everyone else had one. The winners asked what the internet could make possible for their customers. Cloud adoption followed the same pattern.
Many expected automatic savings and speed. The leaders who gained the most understood that cloud wasn’t a destination—it was a different way of operating. The same thing is happening with AI. Some treat it as a project or a purchase. Others see it as an opportunity to rethink how they create value.
The difference comes down to leadership. When you’ve already built trust, fast decisions become possible. I learned that at Nordstrom. We made a call about inventory visibility that created a $250 million revenue lift within months. That wasn’t magic. It was the result of relationships, clarity, and accountability that existed before we needed them.
At lululemon, I learned the opposite lesson. Two days before I officially started, the website went down for 20 hours. I discovered the outage, but more importantly, I found the systems underneath it—the people, the pr
