#001 - Natural and Artificial Intelligence?

Welcome!

If you're here, you're the kind of leader who wants results without the noise. I'm pleased you've joined me—take a seat. This is a no‑hype space for serious leaders.

What I believe.

AI strategy isn't only about models and roadmaps. It's about you—your capacity to focus, think clearly, and make disciplined decisions under pressure. When the room speeds up, judgment often slows down. That's where leaders lose the plot.

I work at the intersection of Natural Intelligence and Artificial Intelligence.

• Natural Intelligence = deep work, attention, balance, ethics.

• Artificial Intelligence = capability, leverage, acceleration.

You need both. Miss either and you drift. With both, you compound.

My operating formula.

After 25 years in AI, my philosophy is simple: Courage + Calm = Clarity:

• Courage — principled action under uncertainty. Make the call without perfect data. Say no to shiny distractions. Back small, real bets over the grand theater.

• Calm — deliberate speed with a clear head. Regulate the noise, protect thinking time, and anchor to first principles when pressure spikes.

• Clarity — the compound outcome. You choose what matters, ignore what doesn't, and execute with discipline.

How to recognize gaps?
Courage without calm slips into thoughtless urgency. Calm without courage hardens into polished paralysis. Bring them together and your decisions travel—from boardroom intent to frontline impact.

What you'll get here.

Every edition delivers proven frameworks, clean roadmaps, and case-backed practices you can use the same day—no fluff, no hype. Expect tight checklists, smart diagrams, and small experiments that create real momentum.

This week's starting point.

AI failures rarely come from weak tech—they come from urgency hijacking judgment. Your edge is calm, not speed.

How to apply it (three angles):

1. Principle: Use Courage + Calm = Clarity to convert pressure into disciplined action. Clarity means tying every AI idea to a business outcome you already measure.

2. Focus: Choose a North Star KPI (revenue, margin, churn, NPS, DSO). If a use case doesn't move it, it's theater.

3. Execution stance: Start narrow, measure hard, and scale only what proves value. Fewer initiatives, deeper impact.

That's how AI stops being slides and starts moving the P&L.

More in the article 👉 Why AI Strategy Needs Calm?

One ask.

Hit reply or comment: What's the single biggest AI tension in your boardroom right now? And which mistake are you most concerned about when creating your AI strategy? I'll prioritize your replies in the next issue.

Best, 
Piotr