AI Change Management Beyond Tool Deployment

AI programs underdeliver when organizations treat adoption as a tooling rollout rather than a workflow and leadership change. The article explains why AI change management depends on visible executive role modeling, credible role-level framing, redesigned workflows, adoption metrics, and peer champion networks. It also highlights why training and license access alone rarely create sustained behavior change. Leaders should care because AI value depends less on deploying capable tools and more on changing how work is led, measured, and performed.