The human side of AI in the workplace

When an organization adopts a new AI tool, the conversation usually starts with the tool. Which model, which vendor, which workflow it replaces. The people who will actually use it, and the people whose work it quietly reshapes, tend to come up later, if at all.

I think that order is backward. The hardest part of AI adoption is rarely the technology. It is the trust, the fear of being made redundant, the unspoken question of whose judgment still counts. A team can be handed the best tool in the world and still route around it, because no one addressed what the change meant for them.

Human resource development has spent decades studying exactly this: how people learn, adapt, and find footing when their work changes underneath them. That body of knowledge is suddenly very relevant. The organizations that adopt AI well will be the ones that treat it as a change-management problem and a learning problem, not just a procurement decision.

This is the thread that runs through everything I work on. I want the shift to AI to be humane, and I want it to leave people more capable rather than more anxious. That starts by putting the human side first.