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Seven lessons from two years of watching AI rollouts succeed and stall inside real companies

The uncomfortable pattern behind every AI budget getting cut, and how to avoid it

Hey Adopter,

I have spent two years advising companies on AI implementation and AI culture, diagnosing readiness, building the first workflows, staying on until adoption sticks. Success has nothing to do with which model sits on the desktop.

Two companies. Same AI stack, same licenses, same vendor promises. One built a habit now running through half the business. The other bought seats nobody opens, produced a stack of dashboards nobody reads, and quietly stopped mentioning AI in meetings.

If you are the one signing off on AI spend right now, there is a decent chance your own team is doing this too. Paying full price for enterprise access while half the department still pastes prompts into a free account, because nobody showed them the paid one exists.

Two years watching this play out across companies of every size taught me seven things. Not seven tool recommendations. Seven behaviors separating the businesses where AI adoption compounds from the ones where it flatlines by month three.

The first one is the most overlooked. Most leadership teams treat getting AI like a talent some people have and others do not. Wrong instinct, wrong strategy, and it is quietly costing you the one thing AI adoption runs on.

Thank you Geekrar, Katja, Judy Ossello (AI Mechanic), and many others for tuning into my live video! Join me for my next live video in the app.

Learn these 7 lessons in the video or below 👇
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