Category: AI Strategy Points
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Scale AI With a Pull System, Not a Push
You don’t scale AI with a big launch. Successful test cases manufacture demand — other departments start asking to join. Pull, not push.
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Treat AI Like a Brilliant New Hire
Capable but new to your world, and it never says “I’m not sure.” Onboard it with data, and supervise its output against a source of truth.
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Everyone Trains the People. Nobody Trains the AI.
The real starting point isn’t prompt training — it’s data structure. The thing that most needs training is the AI, and you train it with your data.
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AI Doesn’t Close the Gap Between Your People. It Moves It.
AI relocates the gap — from credentials to adoption. A supervisor with no degree now builds executive decks that used to require my MBA.
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AI Is Your Biggest Opportunity — and Your Biggest Risk to Staying Relevant
AI amplifies whoever picks it up. You don’t lose your job to AI — you lose it to someone who adopted it. And you don’t have to build, just use.
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AI Adoption Has Three Populations, Not One
Builders, Users, and Resisters need entirely different things. You don’t need everyone to build — just a few who package capability the rest can run.
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Define Your Value Narrowly — Or You’ll Pay a Subscription to Make the Same Report
Everyone says AI “creates value.” Name which kind — Hard, Capacity, Capability, or Decision — or it isn’t value, it’s cost with a subscription.
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The Head Start Isn’t the Tool. It’s the Reps.
The head start that matters with AI isn’t the tool — it’s the reps you bank working real problems. And a rep gap compounds.
