The "AI Champions" paradox

Many companies create networks of "AI Champions" or ambassadors. On paper, the idea is appealing. In practice, it's often a failure.

Why the model fails

AI Champions programs place the transformation burden on isolated individuals without real authority. They can evangelize — but they can't decide, allocate budget, or change processes.

The structural problem

Transformation doesn't travel through enthusiasm. It travels through structure. A champion without mandate becomes a frustrated messenger.

What works instead

Organizations that succeed don't create champion networks — they restructure decision rights. They ask: who is accountable for AI adoption outcomes, and do they have the authority to match?