10 HABITS OF PEOPLE WHO STILL THINK FOR THEMSELVES IN 2026 (RECOMMENDED BY AI)

AI has become the greatest vehicle for normalizing human thought in history. Understand what is at stake when we delegate thinking and call it evolution. – By Marcello de Souza

One morning I received a call from a company that wanted to sell me an artificial intelligence product. The proposal was simple: I would send them the topic of the week, and they would deliver all the content — the right tone, the right depth, the right format for each platform. Automated. Viral. Ready to publish.

I was silent for a moment. Not out of hesitation. Out of astonishment at the precision with which that offer summarized exactly what has concerned me for years — now turned into a product, priced, sold as a solution.

Because what they were offering me was not a tool. It was the outsourcing of my voice. Of my presence. Of the only reason anyone would read what I write: the fact that it comes from someone who thought, who made mistakes, who lived long enough to have something to say that does not exist anywhere yet.

I thanked them and ended the call. But the question remained: how many people said yes?

And deeper still: how many said yes without realizing what they were giving away along with it?

The Surrender Nobody Noticed Because It Had a Technological Veneer

Something is happening on screens, in networks, in companies and in everyday conversations that still has no adequate name. It is not addiction. It is not alienation. It is not laziness. It is something more sophisticated and, precisely because of that, harder to perceive: the progressive delegation of the act of thinking.

Not mechanical thinking — the kind that calculates, organizes, categorizes. That has always been automatable and there is no real loss in automating it. What is being delegated now is something else: interpretive thinking, the kind that notices strangeness, resists, contradicts itself, takes time, makes mistakes and rebuilds. The thinking that is, in itself, the process of becoming someone.

We call this efficiency. But there is a question that efficiency never asks: efficient for what? Efficient to arrive faster — yes. Efficient to build something that could only be yours — perhaps not. And it is precisely this distinction that the current technological enthusiasm has systematically ignored.

To understand what is actually happening, we need to step back a little. Not much — just enough to recognize that this is not the first time human beings have handed over to a tool something they should not have handed over.

We Have Been Here Before — Just Never This Deep

The last century was flooded with ready-made recipes. There came the 7 habits of highly effective people — and as if seven were not enough, an eighth soon followed. Then came the ten rules for happiness, manuals for the perfect marriage, guides that explained with admirable certainty that men are from Mars and women are from Venus. Between twenty and seventy million copies each — selling the same promise with different packaging: there is a universal path for singular problems. Just follow it.

And it did not stop at books. There came the magic management methodologies — frameworks that fit any company, team or business, regardless of history, culture or context. One guru went so far as to write an entire book glorifying companies he presented as models of excellence — and some of them went bankrupt before the second edition came out. Today there are even courses to teach men how to be men. The market for ready-made identities has never been more profitable.

But self-help, for all its superficiality, had a limitation that paradoxically worked as protection: there was distance between the recipe and its application. You read the book. And you had to do the work of translating it into your reality — which was not the author’s reality, not the average reader’s reality, it was yours. There was friction. And in the friction, there was thought.

Artificial intelligence eliminated that friction. With mastery. With elegance. And with a completeness that no previous generation had to face.

The Tool That Learned to Speak Your Language

The great technological substitutions of the past were visible. Industrial machinery took repetitive physical labor — and everyone saw it. Television took time — and people felt it. Social media algorithms took attention — and that was already more subtle, but there was still a perceptible distance between what you wanted and what the platform delivered.

Generative artificial intelligence did something no previous technology had managed: it learned to speak your language, your tone, your context. It does not look like a machine. It looks like an interlocutor. And that resemblance is, at the same time, its greatest technical achievement and its greatest cultural risk.

Because when the tool speaks like you, you begin to confuse what it produced with what you thought. The distance between the generated response and your own elaboration disappears — not because you elaborated, but because the packaging is indistinguishable. The canned product arrived in artisanal packaging.

You receive and publish. You receive and decide. You receive and lead. But what exactly is yours in that process?

The Script That Reads the Book for You — and the Trade You Did Not Realize You Made

Today on social networks, so-called command scripts proliferate: sequences of instructions that ask artificial intelligence to read a book, extract the most important frameworks, organize them into applicable topics. In minutes, you have the ‘essential’ of a work that a human being spent years building.

There are scripts for AI to create ‘viral’ texts that will be published by people who have not even read them. Published as if they were theirs. Published to feed information bubbles that were already fragile before gaining this ammunition. If the influencers who flood networks with dubious, misleading or deliberately false content — aware that it is false, but publishing it anyway in pursuit of engagement — already represented a serious civilizational problem, AI has made that problem industrial. Because now you do not even need the original bad intention: you just need the script.

The problem is not in the technology. It is in the assumption that feeds it: the idea that the value of a book lies in its extractable content. That a 300-page work is packaging and what matters is the product it contains.

But a book is not packaging. It is an encounter. And what transforms the reader is not the information received — it is what happens inside them while they resist, disagree, hesitate and rebuild. It is the page where you close the book and stare at the ceiling because something you thought was certain has just cracked. It is the paragraph you read three times because something in it disturbs a certainty you did not even know you had.

This process has a name that rarely appears in conversations about productivity: interpretive friction. It is the friction between what the text proposes and what you already carry. It is precisely in that friction that original thought is formed. When you eliminate friction, you eliminate the only space where transformation could have happened.

The script that reads the book for you did not deliver efficiency. It delivered the map of a terrain you never walked.

The Framework Is Not Reality — It Is Someone’s Effort to Organize It From Where They Stood

The same logic that distorts the relationship with books distorts the relationship with frameworks in organizations — and this has consequences that go far beyond productivity.

A framework is a reading structure. It is someone’s effort — in a specific context, with specific experience — to organize what they observed into something communicable. It is a generous intellectual gift. But it is, always, partial, situated and provisional. It does not describe reality. It describes a way of looking at reality that worked somewhere, for someone, at some point.

When you apply it directly — without interpreting it, without questioning it, without adapting it to the singularity of your context — you are not using the framework. You are being used by it.

Organizational culture is, by definition, singular. It is made of accumulated history, of unnamed wounds, of celebrations that created rituals, of leaders who left marks, of conflicts that were never resolved and shaped the way people relate to each other to this day. No framework was made for your culture. It was made for an abstraction of what cultures can be.

The real work begins after you understand the framework. It begins when you interrogate it in light of what is specifically yours. That work cannot be outsourced. It cannot be extracted by a script. It cannot be delivered in five applicable topics.

Because what needs to be transformed is not generic. And what is not generic does not fit in a template.

And what applies to organizational culture applies to psychic life, to relationships, to personal development. Singularity is not an attribute only of companies. It is the fundamental condition of any human being who refuses to be an average.

Artificial Intelligence Is the Past Speaking With the Voice of the Present

There is something that rarely appears in enthusiastic conversations about artificial intelligence: AI does not think. It recognizes.

It was trained on everything that has been written, published, indexed. When you consult it, you are conversing with the weighted average of everything that has already been thought — not with what has not been thought yet. The unprecedented is not in the data. Conceptual rupture has not been indexed. The idea that no one has had yet cannot emerge from a model trained on what everyone has already had.

And depending on the sources that fed it, it makes mistakes. It makes mistakes with the same conviction with which it gets things right. It errs with the confident voice of someone who has read everything — including what was wrong.

When you use AI as a destination — and not as a starting point — you are choosing the past as the answer to the present. And the present, unlike the past, does not yet have a ready-made answer.

Means and Ends — The Mistake We Repeat With Every Tool We Create

Every time humanity creates a tool powerful enough to transform behaviors, the same risk sets in: the means becomes the end. The instrument becomes the purpose. The tool that was supposed to amplify the human ends up replacing them.

It happened with television, which was born as a means of communication and became the content of domestic life. It happened with social networks, which were born as a means of connection and became the substitute for real connection — the place where people display relationships instead of having them. It happened with metrics in organizations, which were born to guide decisions and became the decision itself, replacing judgment with numbers.

Social networks colonized what you did while you were not thinking. AI colonizes the very act of thinking. And that difference in scale is not small — it is the difference between losing time and losing the capacity to use it.

With social networks, you knew you were being passive. The scroll was visible. With artificial intelligence, you feel active. You are using technology. You are being efficient. You are innovating. But if what you think, what you respond, what you create and what you decide comes from it — what exactly are you doing?

Productivity is not results. Sometimes it is the opposite. We live in a moment where the fear of appearing useless pushes us toward an acceleration we did not consciously choose. Start paying attention to what is going viral. To the growing aggression, the impatience, the inability to sustain the discomfort of an idea that takes time to reveal itself. To the slow erosion of what we until recently called civility — that rare and indispensable capacity to live in a world that does not think like you.

It is not coincidence. It is consequence.

What Is Irreplaceable in the Human Being Is Not a Competitive Advantage — It Is a Condition of Existence

People ask which human skills AI still cannot replicate, as if thought were a competency in the marketplace of capabilities and the question were just a matter of time until the gap closes.

But the act of thinking, imagining, feeling, creating, co-constructing, erring, revising, transforming — is not a competitive advantage. It is the condition by which someone becomes someone. It is what makes a relationship something alive — and not a performance of closeness. It is what makes a choice yours — and not the execution of a generated recommendation.

A leader who asks AI what to say to their team may be efficient. But they will not be present. They will not have the authentic imperfection that creates trust. They will not carry the weight of having elaborated those words from their own experience, their own limits, their own history with those people.

An organization that applies frameworks without interpreting them may be methodically coherent. But it will not be alive. It will not have the singularity that creates real culture, that attracts the right people, that sustains identity in times of crisis.

And a person who delegates to AI their relational choices, their self-knowledge processes, their interpretation of what they feel — is not using a tool. They are outsourcing themselves.

The Problem Is Not the Tool — It Is How We Use It

Nothing said here is a condemnation of artificial intelligence. That would be naive and useless. It is a tool of automation, facilitation, amplification. But never of resignification. Resignifying is an act that requires presence. And presence cannot be delegated.

Artificial intelligence can, in fact, create friction when used with intention. Ask it to build the opposite argument to what you defend — with all the quality it is capable of. Ask it to ruthlessly attack your own ideas. Use it as high-level intellectual sparring to refine something you have already begun to think, something that was born in you before it reached the AI. In these uses, it does not substitute thinking. It amplifies resistance.

And it is true that the past that feeds its models is vast and contradictory. Within it there is enough tension, error and diversity for an attentive human to extract combinations that seem new. They are not creation from nothing — but neither is human creation from nothing. We always recombine experiences, readings, emotions, memories. The map is never the territory. And it is precisely in the distance between the two that original thought happens.

The problem is default use — the kind that dispenses with thinking before it even begins. The kind that asks ‘think for me’ instead of ‘help me think better’. The kind that receives the topic of the week, sends it to an algorithm, and publishes the result as if it were their own voice.

It is the most powerful means humanity has ever created to enhance human thought. The problem is that we are using the most powerful means in history to avoid thinking. And calling it evolution.

The Only Question AI Cannot Answer for You

In the end, the question is not about technology. It is about what you do with the space that technology creates.

When it frees up time, the question is: time for what? When it eliminates friction, the question is: which friction was necessary? When it delivers answers with extraordinary speed, the question is: had I asked the right question?

What is yours, genuinely yours, cannot be generated. It can be inspired, provoked, supported — but not generated. It is born from the friction between you and the world, between what you know and what you do not yet understand, between who you were and who you are becoming.

This process has no script. No five-point extraction. No efficient version.

It has only you — thinking. Making mistakes. Trying again. Building something that never existed before.

That is what no machine can do for you. And it is precisely that which is at risk when you stop doing it.

I Almost Forgot — The 10 Habits

After reading this text, the AI was consulted. And it delivered, with all its efficiency, the 10 Habits of People Who Still Think for Themselves in 2026. What do you think?

• Cultivate interpretive friction — Resist the temptation to ask for ready-made summaries and applications.
• Recognize AI as a synthesis of the past — Use it, but never as an oracle of the present.
• Choose discomfort over shortcuts — Sustain ideas that are not yet clear.
• Interrogate frameworks instead of applying them — Never use anything ready-made without deep adaptation.
• Keep singularity as a priority — Reject universal solutions for personal problems.
• Use AI as sparring, never as a substitute — Make it attack your ideas, not think for you.
• Value the process, not just the result — The crooked path is often the most valuable.
• Protect your space of not-knowing — Avoid filling every void with instant answers.
• Write, make mistakes and refine with your own hands — Before asking AI for help.
• Always ask: “Efficient for what?” — Before adopting any tool.

Well. I could not close without a little self-help.

#criticalthinking #artificialintelligence #humandevelopment #organizationalculture #leadership #innovation #selfawareness #transformation #humanbehavior #civility #singularity #marcellodesouza #marcellodesouzaoficial #coachingevoce

If something in this text cracked a certainty — or raised a question you do not yet know how to answer —, that is exactly where it is worth continuing. On my blog at marcellodesouza.com.br, there are hundreds of texts written with the same purpose: not to deliver ready-made answers, but to create the necessary friction for you to build your own.

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