The case I make.

The harder part, and the part that decides outcomes, is something organizations wrestled with long before AI: whether leaders can move groups from uncertainty to purposeful action in a complex world. Innovation is that. Corporate transformation is that. Employee engagement is that. The work that changes how a company operates always comes down to whether a team can hold uncertainty, surface honest disagreement, converge on something better than any individual would have produced alone, and act on it together. That work is a discipline. It is teachable. It is also frequently absent.

AI amplifies whatever that discipline already produces. Where leaders have built the muscle for it, AI makes their organizations faster, sharper, and more humane. Where they have not, AI quietly automates the work that gave people meaning and leaves discomfort and uncertainty. What separates those two outcomes is rarely the tools. It is how leaders chose to design the work around them.

I wrote a version of this argument in 2021, three years before the AI conversation reached its current pitch, when I was looking at why half the United States workforce was disengaged at work. The mechanism has not changed. The urgency has. I made the case again in February 2026 in front of the Nebraska Legislature, testifying in support of state policy that gives leaders in companies of all sizes a real shot at designing what comes next.

The question I keep coming back to is what happens to the people doing the work when AI shows up. In the organizations that get this right, people get to be more of who they are. In the ones that do not, I am watching to see what arrives when we leave that to chance.