Most careers in technology follow a predictable arc.

• You start as an engineer.
• You become a senior engineer.
• You lead a team.
• You learn how to design systems, scale infrastructure, tune performance, manage complexity.

From the outside, it looks like progress.

And it is – technically.

But something else happens along the way.

You become fluent in systems, but less fluent in people.

You optimize architectures, but struggle to translate them into meaning for those outside your domain.

Not because you lack intelligence, but because your entire environment trains you in a different language.

A language of:

• abstractions
• metrics
• performance
• constraints

While the “real world” speaks in:

• ambiguity
• perception
• emotion
• trade-offs without clear models

And the gap grows.

At the same time, another trade-off quietly emerges.

You stay in the same company for years.
It rewards you well:

• good salary
• company car
• family insurance
• stability

In return, something subtle is expected.

Not explicitly. Never written.

But structurally reinforced.

You are not there to think independently.
You are there to execute within a frame.

Forecasts guide your priorities.
Sales shape your roadmap.
Quarterly targets redefine what “important” means.

And slowly, without noticing:

Your thinking becomes aligned.
Then constrained.
Then… outsourced.

This is not a critique of individuals.

It’s a property of systems.

Organizations optimize for predictability.
Engineering optimizes for precision.

But the world outside is neither predictable nor precise.

The real challenge today is not technical.

It is cognitive translation.

Can you:

• explain complexity without hiding behind jargon?
• engage with people who don’t think in systems?
• question the frame you are operating in?

Because in an AI-driven world,
technical excellence is no longer the differentiator.

The ability to move between worlds is.

Berto would have noticed this immediately.

Not in a meeting room.
Not in a strategy deck.

But standing at a bar in Milan, late evening,
listening to two people talking past each other.

One explaining how the system works.
The other trying to understand why it matters.

Same words. Different worlds.

Berto never trusted perfect explanations.

He watched how people reacted instead.

A pause.
A hesitation.
A change in tone.

That’s where the real signal was.

Because the problem was never the technology.

It was the distance between those who build it
and those who have to live with it.

And that distance,
unlike any system,
doesn’t scale automatically.

It has to be crossed. Manually. Every time.