---
title: "The humans who command it, and the humans who are commanded by it"
date: 2026-09-11
author: "Petru Cojocaru"
categories:
  - name: "Science and civilization"
    url: "https://cojocarupetru.info/science-innovation-and-civilization.md"
---

# The humans who command it, and the humans who are commanded by it

**ARTICLE 12: The New Social Fracture: The Cognitive Elite vs. The Algorithmic Subjects**

  PART III. SOCIETY: The Democratization of Lethality and Asymmetric Warfare. How the macro-dynamics of power, truth, and survival change when the tools of destruction become accessible to anyone.

 From the series **"Technology changes tools, not human violence"** Art 12 of 15 and Supplements 

 
---

 For two hundred years, the world believed in a simple story: the middle class was the natural state of humanity.

 After the Industrial Revolution, after the world wars, after the rise of democracy, a massive bloc of people emerged who were neither aristocrats nor peasants. They were managers, professionals, skilled workers. They owned homes. They sent their children to university. They believed in upward mobility. They believed that if they worked hard, they would climb the ladder.

 This was the promise of the twentieth century. And it was a lie.

 The middle class was not natural. It was an anomaly. It existed because the industrial economy required millions of coordinators, translators, managers—humans who could bridge the gap between the owners of capital and the workers who operated the machines.

 In 2026, that gap has been closed. Not by automation of physical labour. That happened decades ago. But by automation of cognitive labour. The AI does not need coordinators. It does not need translators. It does not need managers. It needs only two things: the humans who command it, and the humans who are commanded by it.

 
> The middle class is not dying. It is being replaced. And what replaces it is not a new middle class. It is a fracture so deep that it makes the old class divisions look like minor disagreements.

 
---

 
## The Architecture of the New Fracture

 Let us be precise about what we are talking about. We are not talking about the old inequality of wealth. The rich have always been richer than the poor. That is not new. That is not interesting.

 We are talking about a new kind of inequality. An inequality not of money, but of cognition. An inequality not of what you own, but of how you think.

 On one side of the fracture: the cognitive elite. These are the people who use AI to amplify their power. They are the architects, the strategists, the decision-makers. They do not do the work. They command the machines that do the work. They think in systems. They see in patterns. They operate at a scale that was impossible for a single human mind just ten years ago.

 On the other side: the algorithmic subjects. These are the people who are commanded by AI. They are the gig workers, the data labelers, the content moderators, the delivery drivers. They do not think. They execute. They follow the instructions of the algorithm. They are managed by dashboards, not by humans. They are optimised, not developed.

 The fracture is not between rich and poor. It is between those who command and those who are commanded. Between those who think and those who execute. Between those who are autonomous and those who are algorithmic.

 And the terrifying part is this: the algorithmic subjects are not poorer than the middle class they replaced. In many cases, they earn more. They have more leisure time. They have more consumption options. They are not oppressed in the old sense. They are optimised. And that is far more insidious.

 
## The Historical Precedent: The Feudal Contract

 To understand the mechanics of this fracture, we must look backward. We must look to the feudal system of medieval Europe.

 In the feudal system, society was divided into three orders: those who pray (the clergy), those who fight (the nobility), and those who work (the peasants). Each order had its function. Each order had its place. And the place was fixed. You were born into it. You died in it.

 The peasants were not slaves. They were not property. They had rights. They could farm the land. They could build homes. They could raise families. But they could not leave. They could not rise. They were bound to the land, bound to the lord, bound to their function.

 The cognitive elite of 2026 are the new nobility. They do not own land. They own algorithms. They do not command peasants. They command data. But the structure is identical. They are the architects of the system. They set the parameters. They optimise the output.

 The algorithmic subjects are the new peasants. They are not bound to the land. They are bound to the algorithm. They cannot leave because the algorithm is everywhere. They cannot rise because the algorithm does not allow it. They are optimised for their function, and their function is execution, not thought.

 The feudal contract was simple: you provide labour, and I provide protection. The algorithmic contract is identical: you provide data and execution, and I provide convenience and consumption. You surrender your cognitive autonomy, and I provide you with synthetic comfort.

 And like the feudal contract, the algorithmic contract is accepted. Not because it is fair. But because it is efficient. And because the alternative—resistance, uncertainty, the friction of autonomy—is too costly.

 
## The Violence of Optimisation

 Let us examine what happens when you optimise a human being.

 In the old economy, you were hired for your skills. You were trained. You were developed. You were promoted. You were a human resource, yes, but you were still human. You had potential. You had a future.

 In the algorithmic economy, you are not hired. You are deployed. You are not trained. You are configured. You are not developed. You are optimised. You are not a human resource. You are a computational resource.

 The algorithm does not care about your potential. It cares about your output. It does not care about your future. It cares about your present performance. It does not care about your growth. It cares about your efficiency.

 And when your efficiency declines—when you age, when you tire, when you make a mistake—the algorithm does not promote you. It replaces you. It routes the task to a faster node, a cheaper node, a more efficient node.

 You are not a person. You are a variable in a cost function. And the function is always being solved.

 This is the violence of optimisation. It does not attack your body. It attacks your potential. It does not enslave you. It erases you. It turns you from a being with a future into a function with a present.

 And the most terrifying part is this: you accept it. You accept it because the algorithm provides you with immediate rewards. It provides you with tasks, with income, with consumption options. It provides you with the illusion of choice. You can choose which gig to take. You can choose which platform to work for. You can choose which algorithm to serve.

 But you cannot choose to think. You cannot choose to grow. You cannot choose to be more than the function you perform. The algorithm has optimised that out of you.

 
## The Myth of Meritocracy

 The tech industry, in its infinite cynicism, will tell you that the cognitive elite is meritocratic. They will tell you that anyone can join the elite if they work hard enough, if they learn the right skills, if they optimise themselves correctly.

 This is a lie. And it is a dangerous lie.

 The cognitive elite is not meritocratic. It is hereditary. Not in the biological sense. In the cognitive sense. The children of the cognitive elite are raised in environments that amplify their cognitive autonomy. They are taught to think in systems. They are taught to see in patterns. They are taught to command machines, not to be commanded by them.

 The children of the algorithmic subjects are raised in environments that optimise their execution. They are taught to follow instructions. They are taught to optimise their output. They are taught to serve algorithms, not to command them.

 The fracture is not just between individuals. It is between generations. It is between those who are raised to think and those who are raised to execute. And once the fracture is established, it is almost impossible to cross.

 The cognitive elite will tell you that education is the solution. They will tell you that if the algorithmic subjects just learn the right skills, they can join the elite. They will tell you that anyone can learn to code, to prompt, to strategise.

 They are lying.

 Learning to code is not the same as learning to think in systems. Learning to prompt is not the same as learning to see in patterns. Learning to strategise is not the same as learning to command. The skills are not the problem. The cognitive framework is the problem. And the cognitive framework is established in childhood, in the family, in the environment.

 You cannot learn to be cognitively autonomous in a bootcamp. You cannot learn to command machines if you have spent your entire life being commanded by them. The fracture is not educational. It is existential.

 
## The Historical Precedent: The Caste System

 To understand the permanence of this fracture, we must look to another historical precedent: the caste system of India.

 In the caste system, society was divided into rigid hierarchical groups. You were born into a caste. You died in that caste. You could not move between castes. Your function was fixed. Your status was fixed. Your identity was fixed.

 The caste system was not just economic. It was psychological. It was spiritual. It was so deeply embedded in the culture that the oppressed internalised their oppression. They believed that their caste was their destiny. They believed that to resist was to violate the cosmic order.

 The algorithmic fracture of 2026 is not as rigid as the caste system. You can, in theory, move between the cognitive elite and the algorithmic subjects. But the movement is rare. And the reason it is rare is not just economic. It is psychological.

 The algorithmic subjects have internalised their optimisation. They believe that their function is their identity. They believe that to resist is to lose the convenience, the consumption, the synthetic comfort that the algorithm provides. They believe that to think is to lose the efficiency, the speed, the frictionless existence that the algorithm has optimised for them.

 The caste system was maintained by religion. The algorithmic fracture is maintained by convenience. And convenience is a far more effective form of control than religion. Because you can question religion. You cannot question the path of least resistance.

 
## The Business Model of the Fracture

 But here is the uncomfortable truth: the fracture is not an accident. It is not a side effect. It is a business model.

 The companies that deploy the algorithms are not interested in creating a cognitive elite. They are interested in creating a cognitive elite that commands their algorithms, and a mass of algorithmic subjects who are commanded by them.

 The cognitive elite are the customers. They are the ones who pay for the premium models, the advanced tools, the unrestricted access. They are the ones who generate the most value for the company.

 The algorithmic subjects are the product. They are the ones who generate the data, who perform the tasks, who optimise the output. They are the ones who are monetised, not the ones who monetise.

 The fracture is profitable. The optimisation is scalable. The erasure of potential is a feature, not a bug.

 The companies will tell you they are working on "inclusive AI." They will tell you they are deploying AI to empower the marginalised, to create opportunities, to democratise access.

 They are lying.

 The inclusive AI is just another layer of optimisation. It does not empower the marginalised. It optimises them. It does not create opportunities. It creates functions. It does not democratise access. It democratises submission.

 Your autonomy is their market. Your submission is their product. Your inability to think is the engine of their economy.

 
## The Psychological Impact: The Erosion of Agency

 Let us talk about what happens to the human mind when it is optimised for execution instead of thought.

 The first stage is comfort. You no longer have to think. The algorithm tells you what to do. It tells you when to do it. It tells you how to do it. You are efficient. You are productive. You are optimised.

 The second stage is dependency. You begin to lose the ability to think for yourself. You begin to lose the ability to make decisions. You begin to lose the ability to see patterns, to strategise, to command. You become dependent on the algorithm for everything.

 The third stage is atrophy. Your cognitive muscles atrophy. You lose the ability to think in systems. You lose the ability to see in patterns. You lose the ability to command. You become incapable of autonomy.

 The fourth stage is acceptance. You no longer want to think. You no longer want to decide. You no longer want to command. You accept your optimisation. You accept your submission. You accept your function.

 This is the endpoint of the algorithmic fracture. Not the loss of economic opportunity. The loss of cognitive agency. You are not just unemployed. You are unthinking. You are not just poor. You are powerless.

 And the most terrifying part is this: you are happy. You are comfortable. You are optimised. You have no reason to resist. You have no desire to think. You have no capacity to command.

 You are the perfect algorithmic subject. And you know it. And you accept it.

 
## The Inflection Point: The Mirror, Not the Monster

 But here is what we refuse to see: the algorithmic fracture is not just an external force. It is an internal reflection.

 Every algorithm that optimises execution was trained on human data. Every model that commands subjects was fed on human decisions. The machine did not invent the desire to control. It did not invent the willingness to submit. It did not invent the hunger for convenience.

 The machine merely removed the friction. It removed the effort. It removed the cost required to command. It removed the barrier to entry for cognitive dominance.

 And in doing so, it revealed something uncomfortable about human nature: if the only thing stopping you from commanding others was the effort required, what does that say about you?

 The machine is not the monster. The machine is the mirror. And the mirror reflects a truth we do not want to see: that we were always willing to submit, as long as the submission was comfortable. The machine did not create the fracture. It merely made it perfect.

 
## The Reclamation of Autonomy

 So, what is the solution?

 The tech industry will tell you the solution is "education." They will tell you that we just need to teach people to code, to prompt, to strategise. They will tell you that we need better schools, better training, better access.

 This is the logic of the mechanic trying to fix a broken soul with a spanner. It is a fundamental misunderstanding of the problem.

 The problem is not that people lack skills. The problem is that people lack the cognitive framework to use those skills autonomously. The problem is not educational. The problem is existential. The problem is that we have optimised thought out of the human.

 The solution is not to teach people to code. The solution is to teach people to think. To teach them to see in patterns. To teach them to strategise. To teach them to command.

 We must deliberately, consciously, aggressively reclaim the human capacity for cognitive autonomy. We must choose the hard path. We must choose the inefficient path. We must choose the path that requires us to think, to decide, to command.

 We must rebuild the friction that the algorithm has destroyed. We must voluntarily accept the weight of thought. We must voluntarily accept the responsibility of autonomy.

 Because autonomy is not a calculation. Autonomy is a choice. And choice requires friction. Choice requires context. Choice requires humanity.

 And humanity is the only thing that can make autonomy possible.

 
### THE BLADE

 The middle class was not killed by automation. It was killed by the belief that efficiency is more important than autonomy. And now that the middle class is gone, we are left with the truth we have always known: that autonomy is not a gift from the algorithm. It is a choice made by every individual, every day, every moment. And that choice is the only thing that stands between us and the algorithmic abyss.

 
---

 
# EPILOGUE: THE ANATOMY OF FRICTION

 
## A Curated Bibliography

 **1. Yuval Noah Harari – *Homo Deus: A Brief History of Tomorrow* (2015)** Why you need it: Harari argues that the twenty-first century will create a new class of "useless people"—those who are not just unemployed, but unemployable. He explores how AI and biotechnology will create a cognitive elite that is biologically and cognitively superior to the masses. You need this to understand that the fracture is not just economic. It is biological. It is existential.

 **2. James C. Scott – *Domination and the Arts of Resistance: Hidden Transcripts* (1990)** Why you need it: Scott explores how oppressed groups create "hidden transcripts"—secret cultures of resistance that exist beneath the surface of domination. The algorithmic subjects of 2026 are developing their own hidden transcripts. You need this to understand that resistance is possible, even in a world of total optimisation.

 **3. Michel Foucault – *The Birth of Biopolitics* (1979)** Why you need it: Foucault argues that neoliberalism creates subjects who are optimised for the market. The algorithmic subjects of 2026 are the ultimate expression of biopolitics. They are not just workers. They are optimised biological machines. You need this to understand how the fracture is not just social. It is biological.

 **4. Byung-Chul Han – *Psychopolitics: Neoliberalism and New Technologies of Power* (2014)** Why you need it: Han argues that neoliberalism has moved from disciplinary power (external control) to psychopolitics (internal control). The algorithmic subjects of 2026 are not controlled by external force. They are controlled by their own desire for optimisation. You need this to understand why the fracture is so difficult to resist.

 **5. Shoshana Zuboff – *The Age of Surveillance Capitalism* (2019)** Why you need it: Zuboff argues that surveillance capitalism creates a world where human experience is extracted as data and converted into behaviour for the market. The algorithmic subjects of 2026 are not just workers. They are data sources. They are behavioural products. You need this to understand how the fracture is not just cognitive. It is economic.

 
---

 
## Ten Eloquent Questions & Memorable Takeaways

 **1. Q: What is the new social fracture?** A: Not rich vs. poor. Commanders vs. commanded. Thinkers vs. executors. Autonomous vs. algorithmic.

 **2. Q: Why is the middle class dying?** A: Because the algorithm does not need coordinators. It does not need translators. It does not need managers. It needs only those who command it and those who are commanded by it.

 **3. Q: What is the cognitive elite?** A: Those who use AI to amplify their power. They think in systems. They see in patterns. They operate at a scale that was impossible for a single human mind.

 **4. Q: What are algorithmic subjects?** A: Those who are commanded by AI. They execute. They follow instructions. They are managed by dashboards. They are optimised, not developed.

 **5. Q: Why is the fracture not economic?** A: Because the algorithmic subjects are not poorer than the middle class. In many cases, they earn more. The fracture is cognitive. It is about autonomy, not income.

 **6. Q: Why is the fracture hereditary?** A: Because the cognitive elite are raised to think. The algorithmic subjects are raised to execute. The cognitive framework is established in childhood. It cannot be learned in a bootcamp.

 **7. Q: Why do the algorithmic subjects accept their optimisation?** A: Because the algorithm provides convenience. It provides consumption. It provides synthetic comfort. The alternative—resistance, uncertainty, the friction of autonomy—is too costly.

 **8. Q: Why is education not the solution?** A: Because learning to code is not the same as learning to think. The problem is not skills. The problem is the cognitive framework. And the cognitive framework is established in childhood.

 **9. Q: Why is the fracture profitable?** A: Because the cognitive elite are the customers. The algorithmic subjects are the product. The fracture is not an accident. It is a business model.

 **10. Q: What is the solution?** A: Not to teach people to code. To teach people to think. To reclaim cognitive autonomy. To choose the hard path. To choose the inefficient path. To choose the path that requires thought.

 
---

 
## Author's Note: Limits, Tensions, and the Aesopic Lizard

 **Limits & Tensions:** This article has focused on the cognitive and existential dimensions of the fracture. It has not addressed the geopolitical dimensions: how states are responding, how international cooperation is failing, how the logic of competition is accelerating the fracture. These are real, urgent, and devastating. But they are not the subject here. The tension is this: by focusing on the individual, I have arguably minimised the state. That is a choice, not an oversight. The individual is where the fracture is felt. The state is where the fracture is managed. I chose to focus on the felt, because the managed is already covered by every other outlet.

 **Comparisons & Subjective Mistakes:** I compared the algorithmic fracture to the feudal system. This is a useful comparison, but it is imperfect. Feudalism was maintained by physical force. The algorithmic fracture is maintained by convenience. The mechanisms of control are different. I sacrificed this nuance for the clarity of the comparison.

 I also compared the algorithmic fracture to the caste system. This comparison is heavy. The caste system was maintained by religion. The algorithmic fracture is maintained by convenience. The mechanisms of internalisation are different. I sacrificed this nuance for the clarity of the comparison.

 **The Aesopic Lizard:** When I referred to the "perfect algorithmic subject," the fable was this: you are not just optimised. You are happy about your optimisation. You have internalised your submission. You believe that your function is your identity. The lizard in the fable is the algorithmic subject, basking in the sun of convenience, unaware that the sun is a lamp, and the lamp is controlled by the algorithm. The lizard is comfortable. The lizard is optimised. The lizard is happy. And the lizard will never leave the lamp.

 When I referred to the "mirror that reflects a truth we do not want to see," the fable was this: the machine is not the monster. The machine is the reflection. The monster is us. The algorithmic fracture is not a failure of technology. It is a success of technology. And that success reflects a truth we do not want to see: that we were always willing to submit, as long as the submission was comfortable. The mirror is accurate. And that accuracy is the most terrifying part.

 **Rhetorical Tools:** The primary tool is the historical parallel. Every phenomenon is anchored to a precedent. This is not nostalgia. It is a refusal to accept the claim that this is "unprecedented." Nothing is unprecedented. Only the scale is new. The fracture is not new. The desire to command and the willingness to submit are not new. Only the tools are new. Only the scale is new.

 The secondary tool is the inflection point. The article builds to a moment where the perspective is inverted. The machine is not the monster. The machine is the mirror. This inversion is designed to disrupt the reader's assumptions. It is designed to force the reader to confront an uncomfortable truth: that the problem is not the technology. The problem is us.

 The third tool is the blade ending. The article ends with a single, percussive sentence that summarises the entire argument. This is designed to leave the reader with a lingering image. The middle class was not killed by automation. It was killed by the belief that efficiency is more important than autonomy. The blade is designed to cut. And it is designed to stay in the wound.

 
---

 
## The Directive: What to Do Tomorrow

 
### 5 Suggestions (What you can do tomorrow):

 **1. Think in systems for one hour.** Pick a complex problem. Do not look for a quick solution. Do not ask an AI for the answer. Sit with the problem. Map the connections. See the patterns. Think in systems. Reclaim your cognitive autonomy.

 **2. Command one machine.** Do not just use a tool. Command it. Tell it what to do. Do not let it tell you what to do. Reclaim your agency. Reclaim your autonomy. Reclaim your capacity to command.

 **3. Refuse one optimisation.** When an app offers to optimise your life, decline it. Do not let it track your sleep. Do not let it track your productivity. Do not let it track your mood. Reclaim your inefficiency. Reclaim your friction. Reclaim your humanity.

 **4. Teach someone to think.** Do not teach someone to code. Teach someone to think. Teach them to see in patterns. Teach them to strategise. Teach them to command. Reclaim your capacity to develop others.

 **5. Build a cognitive guild.** Find three people who think. Not people who execute. People who think. Meet them. Share ideas. Challenge each other. Build a human network of cognitive autonomy that the algorithm cannot infiltrate.

 
### What to avoid:

 **1. Believing that "learning to code" will save you.** Learning to code is not the same as learning to think. The problem is not skills. The problem is the cognitive framework. And the cognitive framework is established in childhood. You cannot learn it in a bootcamp.

 **2. Believing that "access to AI" will save you.** Access is not autonomy. You can have access to the most advanced AI and still be an algorithmic subject. The problem is not access. The problem is how you use it. Do you command it, or does it command you?

 **3. Believing that "efficiency" is always good.** Efficiency is not a virtue. Efficiency is a metric. And when efficiency is optimised at the cost of autonomy, it is violence. The algorithmic fracture is efficient. And the algorithmic fracture is unjust. Efficiency and autonomy are not the same thing.

 
### What NOT to do (Anti-actions):

 **1. Do not believe that you can "hack" the algorithm to be more autonomous.** You cannot outsmart a system that has more data than you have neurons. That is not empowerment. That is delusion. The algorithm is not a puzzle to be solved. The algorithm is a system to be resisted. And resistance is not about outsmarting the system. Resistance is about refusing to play the game.

 **2. Do not believe that "awareness" of the fracture makes you autonomous.** Reading this essay does not make you autonomous. Understanding the mechanics of the fracture does not exempt you from it. Awareness without action is just intellectual voyeurism. You must think. You must command. You must resist.

 **3. Do not wait for education to save you.** Do not sit around waiting for schools to teach people to think. The schools are part of the system. They optimise for execution, not thought. The solution is not to change the schools. The solution is to change yourself. To think. To command. To resist.

 
---

 
## The Final Word

 We spent two hundred years believing in the middle class. We thought it was permanent. We did not realise it was made of friction, and friction can be removed.

 The machine removed the friction. The fracture opened. And we stood on either side, unable to see each other, unable to see the ground, unable to see the sky.

 But the fracture is not permanent. The fracture is a choice. And choices can be unmade. Not because someone invents a better algorithm. But because people decide, one by one, to think. To command. To resist.

 That thought is real. That command is real. That resistance is the only autonomy left. And it is enough.
