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Train Everyone on AI or Build Specialists? Binary Business - BB-06

You've decided to bring AI into your organization. Now you need people who know how to use it. Do you train everyone on AI basics, or do you build a team of AI specialists who handle everything?

In this episode, I break down when to democratize AI knowledge across the organization versus when to concentrate expertise in specialists, using the ABCD framework.
One approach scales AI literacy. The other scales AI capability. Most companies split the difference and end up with surface-level knowledge everywhere and deep expertise nowhere.

What You'll Learn:

When to train everyone on AI vs. when to build specialist teams
Why "AI for all" training programs often fail to change behavior
How specialist teams become bottlenecks (and what to do about it)
The hybrid approach that actually works: literacy + specialists
Why AI training without workflow integration is wasted investment
How to measure whether AI capability is actually building in your org

Key Timestamps:
0:35 - Context: The AI Capability Challenge
2:40 - The Binary: Train Everyone vs Build Specialists
6:10 - ABCD Framework Breakdown
6:15 - A: Audience (Who Needs to Know What)
7:45 - B: Build (Training Infrastructure vs Specialist Teams)
9:15 - C: Convert (ROI of Broad Training vs Deep Expertise)
11:15 - D: Deliver (How AI Capability Scales)
13:15 - The Call: My Recommendation

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