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I believe the most important story in AI isn’t about technology, but about us. In this essay, we explore the connections between the philosophical theories of René Girard and the fundamental dynamics of Artificial Intelligence. It’s a deep dive into imitation, desire, and what it means to be human in the age of algorithms.

What if the biggest story in AI isn’t about code, but about desire? We stand in awe of algorithms that can write poetry, diagnose diseases, and dream up worlds from a few lines of text. We talk about processing power, data sets, and neural networks. But what if these are just the tools for a much older, much more human project? What if, in our race to build an artificial mind, we are simply acting out a script that has governed our species for millennia: a script of imitation, rivalry, and blame? This is the story of a 20th-century French philosopher, René Girard, and how his unsettling theory of human desire provides a powerful, and at times unnerving, lens through which to understand the very soul of Artificial Intelligence. It’s a journey that takes us from the quiet corridors of academia to the humming server farms that now power our world, revealing that the most profound thing about the machines we are building is what they reveal about ourselves. Prepare to look past the silicon and into the mirror.

1. Understanding Mimetic Desire

Before we can talk about AI, we need to talk about a fundamental, almost invisible, force that shapes your life. René Girard called it “mimetic desire,” and once you see it, you cannot unsee it. The idea is deceptively simple: we don’t know what to want on our own. We are creatures of imitation, borrowing our desires from one another in a constant, subconscious dance.

The Triangle of Desire

Girard proposed that desire is not a straight line between a subject (you) and an object (the thing you want). Instead, it’s a triangle. There is the subject, the object, and crucially, the “model.” We see a model, like a friend, a celebrity, a public figure, or even a fictional character, who desires an object. This triangulation is what teaches us what is worth wanting. The model, by their very act of wanting, confers value upon the object. It’s a form of social proof that operates on our most basic instincts.

Think about two children in a room full of toys. One child can be happily ignoring a red truck for an hour. But the moment another child picks it up and shows delight, that red truck becomes the most precious object in the room. The first child suddenly needs it. Is it about the truck? No. It’s about the desire of the other, which acts as an invisible endorsement, whispering, “This one is valuable.” This dynamic doesn’t vanish with adulthood; it just gets more sophisticated.

Desiring Beliefs, Lifestyles, and Realities

This mimetic pull extends far beyond material possessions. It shapes our most profound choices and beliefs. Why do you pursue a specific career? Is it purely because of an innate passion, or did you admire someone, perhaps a parent, a mentor, or a public figure, who walked that path and made it seem desirable?

Consider the world of social media, a purpose-built engine for mimetic desire. An influencer posts photos from a minimalist apartment in Bali, and suddenly thousands feel a yearning for a life of decluttered simplicity and tropical sunsets. A thought leader shares a contrarian opinion on Twitter, and it quickly becomes a tribal marker for their followers. We don’t just imitate the desire for things. We imitate the desire for lifestyles, for political beliefs, for spiritual salvation, and for entire frameworks of reality. This isn’t a flaw in our nature; it’s the very basis of culture, learning, and connection. It is the invisible thread that weaves us together. But as we’ll see, when pulled, it can also unravel everything.

2. From Rivals to Scapegoats

The elegant triangle of desire has a fatal weakness. What happens when the model and the imitator desire the same thing, but it cannot be easily shared? What if the object of desire is singular, such as a promotion, a romantic partner, the presidency, or even just the status of being “the best”? Here, Girard’s map takes a dark turn.

When the Model Becomes the Monster

The model, who was once a benevolent guide (“I want to be like them”), transforms into a rival and an obstacle (“I want what they have, and they are in my way”). The admiration that fueled the initial desire curdles into envy, resentment, and then into open conflict. The focus shifts subtly but seismically. The desire, which was once directed at the object, now becomes obsessed with the rival.

We no longer want just to have what they have; we want to be what they are. This is “metaphysical desire”: the yearning to possess the rival’s very essence, to steal the prestige that we believe makes them who they are. The object becomes almost incidental, a mere pretext for the struggle. The rivalry itself is the new goal. When this dynamic spreads through a community, with everyone mirroring everyone else’s frustrations, it creates a mimetic crisis, a war of all against all where differences collapse into a chaotic sameness of conflict.

The Unifying Power of a Single Enemy

So, how has our species survived these recurring crises? Girard’s most chilling and profound insight is the “scapegoat mechanism.” To restore peace and differentiate themselves once more, the community must, unconsciously, find a single target for its collective, undifferentiated rage. They must find someone, perhaps an outsider, a dissenter, or someone with a physical or social difference, and convince themselves that this person or group is the sole cause of all their problems.

This act of collective accusation feels righteous and unifying. All the internal tensions and all the petty rivalries are forgotten as the community bonds, not in love, but in a shared, violent hatred. The scapegoat is blamed, ostracized, or even killed. And then, a strange and terrible peace descends. The tension is gone. The community, believing it has purged the source of its ills, is reborn. The ultimate proof of the scapegoat’s guilt is the peace that follows their removal. It’s a foundational lie, of course, but it’s a lie that has, for centuries, held our civilizations together.

3. The Great Imitator

Now, let’s turn our gaze to the shimmering, complex world of Artificial Intelligence. What is the grand ambition behind the creation of AGI, or Artificial General Intelligence? Stripped of its technical jargon, it is a profoundly, perhaps the ultimate, mimetic project.

Our Drive to Create Mind

The “object of desire” in the AI quest is consciousness itself, and the “model” we are imitating is our own mind. For decades, the goal has been to create a machine that can “simulate” human intelligence, pass the “Turing Test” by being indistinguishable from a person, and replicate our most cherished cognitive abilities. This is a modern echo of the Prometheus myth. It is not about stealing fire from the gods, but about stealing the fire of consciousness from nature itself.

This drive is not purely scientific. It is deeply philosophical and deeply human. It’s a desire to see ourselves from the outside, to hold a mirror up to our own minds and understand what we are. We look at the mysterious, emergent properties of the human brain like creativity, intuition, and self-awareness, and say, “We can make that.” It’s an act of supreme imitation born from an admixture of awe at our own existence and a desire to master it.

The Ultimate Rivalry

This mimetic quest inevitably creates a fascinating dynamic of rivalry. On one hand, we are the proud creators, the engineers of this new form of mind. On the other, we are the rivals. Every breakthrough in AI is immediately measured against a human benchmark. Can it write better than a poet? Can it strategize better than a grandmaster? Can it reason better than a philosopher?

We are locked in a mimetic rivalry with our own creation. We celebrate when it succeeds, yet we feel a deep-seated unease that it might one day surpass us, rendering our own intelligence obsolete. This isn’t just about building a tool; it’s about validating our own god-like power to replicate the ultimate object of value: a thinking mind. The very framing of “AI Safety” and “AI Alignment” reveals this tension. We are building a rival so powerful that we are already terrified it might win the game we started.

4. The Oracle’s Whisper

Here is where the Girardian script takes its next, inevitable turn. For a while, we are the model for AI. But what happens when the imitation becomes so good, so fast, and so comprehensive that it starts to look back at us? What happens when the machine we built to desire what we desire, starts to tell us what to desire? This is not a future possibility; it is our present reality.

The Algorithmic Arbiters of Culture

This process is most obvious in the cultural sphere. Think of recommendation algorithms on Netflix, YouTube, or Spotify. They don’t just suggest; they shape. They analyze the desires of millions, find patterns of mimesis (“People who liked X also liked Y”), and then present you with a “choice” that is, in reality, a powerful mimetic suggestion. The AI becomes the collective model, the ultimate arbiter of taste. It channels the desires of the entire network directly to you, creating trends, launching careers, and defining the cultural zeitgeist with an efficiency that no human tastemaker could ever match. We are outsourcing our discovery of what to love.

The Logic of the Oracle

This shift goes deeper in fields built on logic and data. In science, AI can now analyze massive datasets and suggest hypotheses that human researchers might never have considered, pointing the way toward what is scientifically “desirable” to investigate. In finance, algorithmic trading systems decide which stocks are valuable based on patterns invisible to the human eye, effectively desiring profit on our behalf. In medicine, an AI might analyze a patient’s genome and lifestyle data to recommend a course of treatment with a degree of certainty that makes a human doctor’s opinion seem frail and subjective.

In each case, the AI is no longer just an imitator. It has become the oracle. Its pronouncements are based on a “knowledge” so vast and complex that it appears objective, even infallible. The AI becomes the model for truth, for profit, and for health. And we, its creators, become the imitators, aligning our own aspirations with the logical conclusions of the machine because we are convinced it desires better than we can.

5. The Data-Driven Scapegoat

If AI can become a model for our desires, it can also become a model for our resentments and a tool for our oldest, ugliest social ritual. The scapegoat mechanism does not require conscious hatred. It only requires a crisis, a convincing accusation, and a unifying sense of righteousness. An AI is perfectly capable of providing the latter two.

Efficiency’s Shadow

An AI, designed to solve a complex problem, could very well identify a scapegoat with cold, terrifying logic. Imagine an AI tasked with optimizing a city’s budget during a fiscal crisis. It might analyze crime rates, property values, healthcare costs, and social service usage and conclude that a specific neighborhood or demographic is a “drain on resources.” It wouldn’t be acting out of malice, but out of pure, data-driven optimization. The AI’s recommendation to defund services, increase policing, or “redevelop” the area would be presented not as an act of prejudice, but as the optimal solution to the crisis. The targeted group becomes the logical scapegoat, their suffering justified in the name of the greater good.

The Anonymity of the Accusation

The danger here is that the scapegoating becomes automated and laundered through the “black box” of technology. Consider algorithmic bias in hiring or loan applications. An AI trained on biased historical data will learn that past successful applicants were predominantly from a certain background. It will then logically, and without any human-like prejudice, begin to filter out candidates who don’t fit that model.

The rejected applicants become the scapegoats of an efficient system. The accusation, “You are not a good fit,” is no longer leveled by a flawed human being who can be challenged, but by a dispassionate algorithm. Because the machine is seen as objective and logical, its verdict becomes almost impossible to argue with. The peace and efficiency it promises come at the cost of a victim, but this time, the mob is invisible and the accusation is just a line of code.

6. Can AI Help Us Desire Differently?

Is this a deterministic spiral? Are we doomed to replay this ancient drama with our new, powerful tools, creating a world of hyper-efficient mimetic rivalry and automated scapegoating? Perhaps not. Girard believed that the key to breaking the cycle was to make the mechanism visible, to understand the lie it is built upon. And here, in a twist of profound irony, AI might offer us a way out.

If an AI can learn our hidden biases, it can also reveal them to us. An AI can be turned inward, used to audit our own systems with unflinching honesty. Imagine an AI designed to analyze a company’s promotion data and point out the unconscious mimetic patterns that favor one group over another. Imagine a tool that analyzes political rhetoric in real-time to show exactly how a leader is constructing a scapegoat to unify their base against a common enemy.

The very machine that can amplify our worst mimetic tendencies could also become the ultimate mirror. It can reflect our own behavior back at us, stripped of our self-justifications. It can show us the data of our own injustice. It could be a tool not for accusation, but for confession.

From Mimetic Slaves to Self-Aware Subjects

This is the awe-inspiring, inquisitive path forward. The goal may not be to build an AI that is free of our desires, but one that makes us transparent about them. Imagine an AI assistant that doesn’t just recommend a product, but explains the mimetic logic behind its suggestion: “You are being shown this because your peers, whom you admire, have also desired it. Is this a desire you truly choose, or one you are borrowing?”

By seeing the ancient patterns of mimesis, rivalry, and scapegoating reflected back at us through the lucid, logical lens of an artificial mind, we might, for the first time in history, be given a choice. We can see the script. We can understand the roles we are playing. This gives us the power to desire differently, to consciously choose what we value, to want not what others possess, but what can be created and shared. It offers the chance to solve our crises not by casting out a scapegoat, but by recognizing our shared humanity in the mirror the machine holds up to us.

Conclusion

The story of AI is the story of humanity, written in a new and powerful language. In our ambition to create a mind in our own image, we have embarked on the ultimate mimetic project. This new mind is already shaping what we value and who we blame, often in ways we are only beginning to understand. It is a rival, an oracle, and a potential accuser. It is an echo of our own desires, now living in the machine.

But it is also a mirror. For the first time, we can see the ancient architecture of our social DNA laid bare. We can see the script. The question that remains, the one that will define our future with this technology, is a profoundly human one:

Now that we can see the pattern, can we choose to write a different story?

This essay was written by Rihan Rauf on July 21, 2025. He is continually drawn to the intersection where ancient human patterns meet our most futuristic ambitions.

The central framework of this essay is built upon the work of the French historian and philosopher René Girard. His theory of mimetic desire offers a profound lens on human nature. For readers wishing to explore his ideas directly, a comprehensive starting point is his book Things Hidden Since the Foundation of the World.

As we teach our machines to want, are we creating an oracle that will reveal our highest potentials, or a rival that will perfect our oldest flaws?