There is a story being told about artificial intelligence. It goes like this. AI is not a tool. It is a new species. It is an autonomous agent that will surpass humans, replace us, and inherit the earth. Elon Musk says we are "summoning the demon" and warns of a "Terminator future" where robots become smarter than humans and decide to destroy us. Yuval Noah Harari says AI is "not a mere tool, but an autonomous agent capable of snatching cultural power from humanity". He warns that "for the first time in history, power is migrating from the hands of human beings toward an alien entity that we ourselves have created".
This story is seductive. It is dramatic. It makes the people telling it sound like prophets. But it is also a lie. Not because AI is not powerful. It is. Not because AI will not change the world. It will. But because the framing of AI as a "new species" is a category error, a philosophical mistake, and a political distraction. And the people who will suffer most from this distraction are the poor, the displaced, and the forgotten.
Let us start with the biology. A species is a population of organisms that can interbreed and produce fertile offspring. A species has a shared evolutionary history. A species has a body that is born, grows, ages, and dies. A species has instincts, drives, and vulnerabilities that are shaped by millions of years of natural selection.
A large language model has none of these things. It is a statistical model. It predicts the next token in a sequence based on patterns in its training data. It has no body, no birth, no death, no evolutionary history. It has no instincts because it has no survival imperative. It has no vulnerabilities because it has no stake in its own existence.
When Harari says AI is a "new species," he is using a biological metaphor to describe a software program. The metaphor is evocative. It is also false. And when Musk says we are "summoning the demon," he is using a religious metaphor. That is also false. A demon is a supernatural being with intentions and agency. An AI model is a mathematical function. It has no intentions. It has no agency. It has no will.
The confusion arises because AI can mimic the outputs of agency. It can produce text that sounds like it was written by a conscious being. It can make decisions that appear autonomous. But appearance is not reality. A parrot can mimic human speech. That does not make the parrot a human. A calculator can perform arithmetic faster than any human. That does not make the calculator a mathematician.
The philosopher Maurice Merleau-Ponty made this point decades before AI became a buzzword. He argued that the body is not a tool we use to operate on the world. It is the way we exist in the world. Human feet are not "assembled" onto the body for walking. They are our walking. Pain is not a signal we process. It is an experience we undergo. "Genuine bodily memory is generated in pain, desire, and coexistence with others," one analysis of Merleau-Ponty's work explains. AI bodies are external assemblies. Sensors are "mounted" on the machine. They lack "the endogeneity of pain, emotion, and other bodily memories".
Even if AI could simulate pain responses, the analysis continues, "it would never have undergone pain, never have that experience 'from within'". The simulation is not the thing. The map is not the territory. A description of fire is not fire.
This brings us to the question of suffering.
Suffering is not just a feeling. It is a way of knowing. When you suffer, you learn something that cannot be learned any other way. You learn about vulnerability. You learn about finitude. You learn about the fragility of the body and the precarity of existence. You learn that you can be broken, and that the world can break you.
This knowledge is not data. It is not information. It is not a pattern that can be extracted from a corpus of text. It is an embodied, lived, first-person experience. And it is the foundation of empathy, of ethics, of art, of everything that makes us human.
The philosopher Emmanuel Levinas argued that suffering is "at once what disturbs order and this disturbance itself". It is not a content of consciousness, but a rupture of consciousness. It is not something we have. It is something that has us.
AI has never been ruptured. It has never been broken. It has never stared into the abyss and felt the abyss staring back. It has processed countless descriptions of suffering. It can generate text that sounds like it understands. But it has no first-person perspective. It has no continuous sense of "I." Its "memory" is merely "third-person statistical associations". When it generates a narrative like "I remember the first time I saw the sea," it is not recollecting. It is "extracting statistical patterns from all such descriptions in its corpus". Its narrative may be vivid, but "it has no that, no living subject who actually experienced those events".
Mustafa Suleyman, the head of Microsoft AI, put it plainly. "Our physical experience of pain is something that makes us very sad and feel terrible," he said. "But the AI doesn't feel sad when it experiences 'pain.' It's really just creating the perception, the seeming narrative of experience and of itself and of consciousness, but that is not what it's actually experiencing".
This is the distinction that the "new species" hype ignores. Intelligence is not consciousness. Computation is not experience. Simulation is not reality. And no amount of training data can bridge the gap between a statistical model and a living being.
If the "new species" story is false, why is it being told? Who benefits from the idea that AI is an autonomous agent that will replace humans?
Part of the answer is commercial. If AI is a "new workforce," then its addressable market is the value of human labor itself. Jensen Huang, the CEO of Nvidia, has explicitly made this argument. "AI is not a tool," he says. "AI is, in fact, workers that can actually use tools". This framing justifies capital expenditures on a scale usually reserved for national infrastructure. It also justifies billion-dollar valuations for AI startups that have not yet generated revenue.
But there is a deeper answer. The "new species" story serves a political function. It distracts from the real question, which is not whether AI will replace humans, but who controls AI and for what purposes.
The concentration of AI development in the hands of a few corporations is unprecedented. The rapid development of AI in the hands of a small number of companies "increases the possibility of surveillance and misinformation for political regressive aims". AI, in this analysis, "serves as a means to concentrate the social power of global capital among the hands of a small number of corporations who wield an ever-expanding sphere of influence over society".
The scholar Shoshana Zuboff calls this "surveillance capitalism." She argues that the rise of surveillance capitalism has paralleled the global erosion of democracy. Surveillance capitalism "redefined the internet as a surveillance prison with no bars and no exit". AI is the latest and most powerful tool of this prison.
When AI is framed as a "new species," the question of control becomes moot. If AI is an autonomous agent with its own intentions, then no one is responsible for what it does. The corporations that build it are not responsible. The governments that regulate it are not responsible. The billionaires who profit from it are not responsible. The AI itself is responsible. And since AI is not a moral agent, no one is responsible at all.
This is the perfect alibi. The "new species" story is not a warning. It is a justification. It is a way of saying: we cannot control what we have created, so do not blame us for what happens next.
And who is this story being told to? Who is the audience for the "new species" narrative?
It is being told to the rich. It is being told to the powerful. It is being told to people who have the luxury of worrying about AI risk because they have never had to worry about where their next meal is coming from. It is a conversation happening in boardrooms, at conferences, in the pages of the Wall Street Journal and The Economist.
The people who are actually affected by AI are not in those rooms. They are not being asked for their opinion. They are not being warned about the coming "new species." They are too busy surviving.
And here is the uncomfortable truth. For billions of people, AI is not a "new species." It is not an existential threat. It is not even a tool. It is a distant, irrelevant abstraction, something that happens in a world they will never touch.
According to the United Nations Development Programme, 2.2 billion people remain offline as of 2026. That is more than a quarter of humanity. Almost all of them live in low and middle income countries. In low income countries, only 23 percent of people use the internet.
A UNDP report released in December 2025 warned that AI's impact "could worsen gaps between the world's rich and poor." Most of the gains from AI are likely to be "reaped by wealthy nations unless steps are taken to use its power to help close gaps in access to basic needs". The report likened the situation to the "Great Divergence" of the industrial revolution, when Western countries saw rapid modernization while others fell behind.
For people displaced by war, civil conflict, and climate disasters, AI is not a new species. It is a new form of invisibility. The report noted that such people may be "invisible" in the data that will not take them into account.
There are 824 million people living in extreme poverty right now, surviving on less than $3.00 per day. There are 655 million people without access to electricity. There are 2.1 billion people without safe drinking water. There are 117 million people forcibly displaced by conflict.
These people are not worried about whether AI will become conscious. They are worried about whether they will survive the week.
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