When we call something artificial, we mean it is made by humans rather than nature. Artificial turf replaces grass. Artificial sweeteners mimic sugar. So “artificial intelligence” implies a synthetic copy of natural intelligence; a fake mind built from silicon. That framing is wrong. AI is not a counterfeit of human thought. It is a genuine form of computation, and computation is not a human invention imposed on a passive universe. It is a natural phenomenon. The intelligence we are building is not artificial. It is simply not biological.

The term was coined by John McCarthy in 1955. He proposed a Dartmouth workshop to explore how machines might simulate higher functions of the brain. The word “simulate” assumed a clean split between original and copy, natural and made. But that split is cultural, not scientific. It comforts us by placing humans on one side and machines on the other. It also confuses us, because it makes AI sound both unreal and autonomous; a trick and a threat at the same time. The phrase promised a future in which minds could be built rather than born. It also planted a false dichotomy that still shapes public debate.

Computation is the missing link. Blaise Agüera y Arcas, a vice president at Google, argues that computation is not something we invented; it is a natural process. He defines life as a self-modifying computational state of matter that can grow, heal, and replicate. In this view, biology is embodied computation. Life evolves in environments that support computation, and it grows more complex through cooperation and symbiosis. If that is true, then AI is not artificial. It is a continuation of the same process. Silicon is a different substrate than carbon, but the principle; computation, is the same.

This does not mean AI is human. It is not. Roboticist Hans Moravec noted a paradox: abstract reasoning, which humans find hard, is relatively easy for machines; perception, motor control, and common sense, which humans find effortless, are extremely hard for machines. AI is not a failed imitation of us. It is a different kind of intelligence, operating on a different substrate in a different niche. A calculator is not a bad brain. A large language model is not a fake person. Each is a computational system doing what its architecture allows. The fact that machines excel at chess but struggle to fold laundry should not surprise us. It reveals that intelligence is not one thing but many.

Philosophers Harald Wiltsche and Ken Archer add another piece. Language, mathematics, logic, and code let thought and meaning exist outside the organisms that produce them. A mathematical proof on a blackboard is not a simulation of thought; it is thought externalized. AI extends this trajectory. It takes meaning and relational power further out into the world, beyond the skull. That is why AI can be genuinely intelligent and utterly unlike us. It is not artificial. It is alien in the precise sense: other, but real.

The nature/culture divide is collapsing. As humans become more mechanized and machines more humanized, the line between artificial and non-artificial intelligence makes less sense. We already accept artificial joints, artificial heart valves, and artificial insulin as real medicine. We do not call a pacemaker “fake biologdy.” We should not call machine cognition “fake thought.” It is thought of a different kind. A prosthetic limb is not less real than a biological one; it is simply made differently.

None of this means AI is conscious, or that it has feelings, or that it deserves rights. It means the word “artificial” is doing less work than we think. When we say AI is artificial, we are not describing a scientific fact. We are expressing a preference for the organic over the synthetic, the born over the made. That preference may be emotionally satisfying, but it is analytically useless. It keeps us from asking the real questions: What can this system do? What are its limits? Who benefits? Who is harmed? How do we govern it?

Some scholars have proposed dropping the prefix altogether. They argue that “artificial” in AI is a category mistake that future generations may find quaint. But the term is too established to disappear. We are stuck with it. What we can do is refuse to let it do our thinking. We can recognize that AI is not a synthetic imitation of human intelligence. It is a genuine form of computation that emerged from the same natural processes that produced us. We can acknowledge that its intelligence is real, even when it is alien.

The intelligence we are building is not artificial. It is the latest chapter in a story that began with the first self-replicating molecule. The word “artificial” tells us more about our own anxieties than about the technology. It is time to retire it.