What is the difference between AI training and AI enablement?
AI training teaches people about AI. AI enablement changes how they work with it day to day. Training is a session with an end; enablement is ongoing support built into the job, so people keep using AI well after any course is over. Enablement is where behaviour actually changes.
Training is upstream and finite: explain the concepts, show the tools, run the exercises. It is necessary but easy to forget, because it happens away from the real work.
Enablement is downstream and continuous: prompts, practice and feedback in the flow of the actual job, so the new way of working becomes the default. The strongest programmes treat training as the on-ramp and enablement as the road.
Both, in sequence. Training gets people started; enablement makes it stick. If you only fund training, expect the effect to fade within weeks.