In Short

Artificial intelligence isn’t just making us more productive. It’s changing the way we think.
When ideas, prototypes, code, and documents can be generated and tested in minutes, the cognitive skills humans rely on begin to shift: less memory and linear planning, more exploration, synthesis, and the ability to guide intelligent systems.

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The Long Version

Every day I receive:

• documents,
• slide decks,
• emails,
• reports,
• technical studies,
• strategic analyses.

And more and more often, they’re clearly written — at least in part — with the help of AI.

That’s not necessarily a bad thing. I use AI constantly myself. Pretending otherwise would be dishonest.

But over the last few months, I started noticing something different.

The speed at which people produce content has surpassed the speed at which other humans can actually consume it.

Whenever a problem appears:

• someone generates a 20-page RFC,
• someone else creates a polished presentation,
• another person builds a detailed architectural comparison.

Sometimes all within the same afternoon.

So I started developing a small personal rule for communication.

Whenever I send an important message to my manager or colleagues, I structure it like this:

• Short description
• Long description (if you care)

First I explain:

• what I want,
• what I recommend,
• what the issue is,
• what decision can be made.

Then, only if someone is interested, they can dive deeper.

I don’t even know if it truly works. Nobody has ever explicitly told me. But I realized it’s exactly how I wish information were presented to me today.

Because the real scarcity is no longer content production.

It’s human attention.

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At first, I thought this was just an organizational problem.

Then I realized it was something much deeper.

Artificial intelligence isn’t merely accelerating work. It’s compressing cognitive time.

For thousands of years, human thinking was constrained by long feedback loops.

An idea could emerge instantly in the mind, but turning it into reality required days, weeks, or months:

• implementing it,
• testing it,
• refining it,
• sharing it,
• validating it against the real world.

And during that time, the idea itself would change.

Sometimes it improved.
Sometimes it faded away.
Sometimes it was reshaped by technical constraints, meetings, or simple forgetfulness.

Anyone who has seriously designed software knows this feeling:
you start by imagining one thing, and weeks later realize you’re building something else entirely.

The reason is simple.

The human brain isn’t designed to hold large, complex mental structures perfectly stable over long periods of time.

That’s why, historically, we developed specific cognitive skills:

• memory,
• planning,
• upfront precision,
• discipline,
• the ability to “think carefully before acting.”

When iteration was expensive, mistakes were dangerous.

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Artificial intelligence completely changes that equation.

Today I can have an idea and:

• immediately turn it into code,
• test it,
• modify it,
• compare alternatives,
• debug it,
• generate tests,
• iterate dozens of times,

all within a few minutes.

Psychologically, the difference is enormous.

For the first time, I can stay close to my original intuition long enough to truly explore it.

I no longer need to “keep an idea alive” in my memory for weeks, hoping it survives implementation.

I can think and validate almost simultaneously.

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That changes the cognitive skills that matter.

In the past, success depended heavily on:

• precision,
• memory,
• long-term planning,
• minimizing early mistakes.

Now what matters more is:

• rapid exploration,
• generating alternatives,
• recognizing promising directions,
• synthesis,
• collaborating effectively with intelligent systems.

The machine is no longer passive.

It works with us.

And this, I believe, is where the real historical shift is happening.

We are no longer simply using better tools.

We are building hybrid cognitive systems.

You plus AI become a distributed thinking unit.

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This creates extraordinary opportunities.

We can explore far more possibilities.
We can experiment dramatically faster.
We can expand the surface area of innovation.

But there’s also a risk.

Speed may begin replacing depth.

Slowness had hidden value:
it forced ideas to mature.

Some forms of insight only emerge when a problem stays in your mind long enough.

We may be entering an era where humans think faster than ever before.
But it’s still unclear whether we’ll think better.

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One thing, however, already seems obvious to me.

Many companies are currently using AI to increase output.

The best companies will use AI to reduce noise.

Because in the world that’s emerging, competitive advantage won’t come from:

• producing more documents,
• generating more slides,
• writing more code.

It will come from the ability to:

• maintain clarity,
• synthesize effectively,
• make better decisions,
• preserve strategic coherence,
• orchestrate ecosystems of human and artificial intelligence.

The true AI revolution may not ultimately be technological.

It may be cognitive.

May 2026