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The "AI Champions" paradox
Analysis
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?
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