Episode 12: Why AI Adoption Isn't a Technology Problem
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Episode 12: Why AI Adoption Isn't a Technology Problem
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Why do some employees embrace AI immediately while others resist it? Why do promising innovation initiatives gain momentum in one organization and stall in another?
In this episode of Finding 12 Minutes, Frank explores Everett Rogers' Diffusion of Innovations theory and how it applies inside modern organizations. While the theory was originally developed to explain how innovations spread through society, the same adoption patterns appear in businesses every day.
From Innovators and Early Adopters to the Early Majority, Late Majority, and Laggards, understanding these groups can help leaders accelerate AI adoption, manage innovation more effectively, and avoid common implementation mistakes.
Dr. Frank discusses why AI adoption is ultimately a people challenge rather than a technology challenge, how organizations can balance innovation with governance, and why small wins often matter more than enterprise-wide mandates.
If you're trying to build an AI-ready organization, this episode provides a practical framework for understanding how change really happens and how to help it happen faster.
Because successful AI adoption isn't about getting everyone on board at once. It's about helping innovation spread, one person at a time.