AI is Our Tractor: The 4 Stages of AI Transformation đźšś

Like a farmer facing his first tractor, we're all learning to embrace AI. Discover the 4 stages of AI transformation and how to move beyond individual task mastery to organizational intelligence.

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Hey!

Picture a farmer, decades ago, looking at his fields. He’s spent his life working the soil with his hands. It’s hard work, but it’s familiar. He’s proud of it.

Then, one day, someone shows him a tractor.

It’s loud, it’s strange, and it feels completely alien. His first thought isn’t “Wow, this is efficient!” It’s, “This will never replace the feeling of good, honest work.”

He’s not wrong, but he’s missing the bigger picture.

We’re all that farmer right now. AI is our tractor. And it’s here to change everything about the way we work.

The 4 Stages of AI Transformation

After months of hands-on experimentation with my team, I’ve identified four clear stages every person and organization goes through:

Stage 1: Individual Task Mastery We learn how to use AI for specific tasks. Like using ChatGPT to write better emails or Cursor to help with coding.

Stage 2: Building Your AI Arsenal We develop a collection of prompts and workflows tailored to our field. Every developer, marketer, UX, or manager starts building their personal AI toolkit.

Stage 3: Connected Workflow Systems This is where it gets interesting. We connect all stages and use AI to guide us from start to finish, from initial idea to final delivery.

Stage 4: Organizational Intelligence The entire company operates with AI-enhanced processes. Every department, every decision, every workflow.

Most people get stuck at Stage 1. They try a few AI tools, get frustrated, and give up.

But the magic happens when you push through to Stages 3 and 4.

The Hardest Part? It’s Not the Tech

The biggest challenge isn’t learning the tools. It’s changing the mindset.

I often tell this to my team: it’s like telling a lifelong soccer player they have to become a basketball player tomorrow.

Their instincts, their muscles, their strategies, everything is for soccer. Of course, they’ll resist! They might even be able to find other teams who only play soccer for a while.

But the rest of the world is already on the basketball court, learning a new game.

I saw this with my own developers. The solution wasn’t showing them slides or giving them lectures. It was teaching them by doing the work together on real use cases.

We went to the extremes. We tried things they wouldn’t even think were possible, pushing the limits. But here’s the key: I offered full support. They weren’t afraid to break something because I made sure they knew I had their back. We had isolated environments for experimentation, but more importantly, they felt my complete support.

During our internal hackathon, I even joked, “You’re risking your job if I see you coding manually without AI.”

It worked. Mindsets shifted fast. And this was the whole point of the hachaton. Not the work we tried to finished.

What Are We Really Building?

This journey with AI has forced me to think about a fundamental question: Why does a company exist?

The answer isn’t the product or the service.

It’s the process of transforming a problem into a solution.

A great company is a master of that process. From the first spark of an idea, through development, QA, marketing, and sales, it’s one connected flow.

That’s what I’m building now: an intelligent system that understands and assists with that entire journey. A central brain for the whole company.

The Choice Is Yours

Like the farmer, you have a choice.

You can stick with what’s familiar, and that’s okay for a while. Or you can embrace the tractor. It might feel awkward at first, but it will allow you to cultivate fields you never could have dreamed of before.

You have a head start because you already understand your “land.” And nobody is taking away the chance to get your hands in the soil for your soul, after the work is done.

Here’s how you can start learning to drive:

  1. Start with one AI tool for a task you do regularly.
  2. Build your personal AI arsenal of prompts and workflows.
  3. Look for connection points between your different tools and processes.
  4. Think systemically about how AI could enhance your entire workflow.

What’s the biggest thing holding you back from using AI more in your work? Fear? Time? Not knowing where to start?

Hit reply and let me know. I read every response.

Talk soon, PrimoĹľ

P.S. If this resonated with you, please forward it to a friend or colleague who is also figuring out their “AI tractor.” It’s the best way to support this newsletter! ✌️

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