# What is superintelligence? > What people mean by the word, and why it’s taken seriously. Source: https://www.superintelligence.com.au/guides/what-is-superintelligence/ Guide 1 of 6. Reviewed September 2026. ## In short 1. Superintelligence means an intellect that greatly outperforms the best humans across almost every area that matters. 2. No such system exists today, and researchers disagree about whether, when and how it might arrive. 3. The topic is taken seriously because leading AI labs and many researchers treat it as a possible outcome worth preparing for. ## A simple definition Superintelligence is a word for an intelligence that is far better than the best human minds at nearly everything that matters. That includes science, planning, persuasion, engineering and social understanding. It is not a claim about one clever trick, like playing chess, which computers have done better than people for decades. The word describes a level of ability, not a particular technology. It could in principle be a single program, a network of programs working together, or something we have not imagined yet. ## Where the idea comes from The idea is older than modern AI. The mathematician I. J. Good wrote in 1965 that a machine smarter than any person could design even better machines, leaving human intelligence far behind. He called this an "intelligence explosion". The word "superintelligence" reached a wide audience through Nick Bostrom’s 2014 book of the same name. Bostrom set out how such a system might arise, what forms it could take, and why the question of control would matter. Since then the topic has moved from philosophy seminars into the plans of well-funded companies. Good’s point was simple. If intelligence is the ability that produces new technology, then a machine with more of it might produce new technology faster than we can follow. Whether that reasoning holds up in practice is still argued over, but it explains why the idea has lasted. It is also worth separating the idea from science fiction. Films tend to show machines with human motives, such as revenge or ambition. Researchers who study the topic are usually concerned with something duller and harder: a system pursuing a goal competently while we fail to notice that the goal is slightly wrong. ## What it is not It helps to clear away a few common pictures. Superintelligence is not the same as a very good chatbot, and it is not a robot with a human face. It also does not have to be conscious, angry or evil to matter. - **Not today’s AI.** Current systems are impressive at many tasks and still make basic mistakes. Nobody serious claims they are superintelligent. - **Not a prediction.** Talking about it does not mean it is certain, or close. - **Not one thing.** People use the word for quite different scenarios, from a single system to many cooperating ones. If you want the vocabulary sorted out, the next guide, [AI, AGI and ASI: the difference](/guides/ai-agi-and-asi/), separates the three terms people mix up most. A helpful test is to ask what would have to be true. A superintelligent system would need to outperform skilled people in scientific research, in long-term planning, in writing and in understanding other people, and not merely in one narrow contest. That is a very high bar, which is part of why the word is used carefully. Another point is that ability is not the same as motive. A system can be extremely capable and still simply do what it is asked. The concern is about what happens when what it is asked, and what we meant, quietly differ. ## Why people take it seriously There are a few reasons the idea gets attention. AI systems have improved quickly on many tests over the past decade, and the largest companies building them say openly that they are aiming at systems that match or exceed people across a wide range of work. Several prominent researchers, including some who helped build the field, have said the risks deserve serious effort. Another reason is the shape of the problem. If a system became far more capable than us, we might have only limited ability to correct mistakes afterwards. That makes preparation before the fact more valuable than repair after it. The [alignment guide](/guides/alignment/) covers what that preparation involves. ## Where researchers disagree Not everyone is persuaded. Some researchers think current methods will stall well short of human-level ability, and that talk of superintelligence distracts from harms happening now, such as errors, bias and misuse. Others think progress will continue and that the far end of the range is reachable. There is also disagreement about how quickly things could move. Some expect a gradual climb over many years, while others think a sudden jump is possible once systems can help improve themselves. The guide on [fast or slow takeoff](/guides/fast-or-slow-takeoff/) sets out both views fairly. Nobody knows the answer, and this site does not offer a date. Anyone who gives you a confident one is going beyond the evidence. ## How to think about it A sensible way to hold the idea is as a question with high stakes and low certainty. It does not call for panic, and it does not deserve to be waved away either. What you can do is learn how progress is measured, what the main arguments are, and where the experts differ. The rest of this site is built for that. The [benchmark explorer](/benchmarks/) shows how leading systems perform on hard tests, with live numbers rather than a snapshot in an article. A good next step is the guide on [how AI progress is measured](/guides/how-ai-progress-is-measured/), which explains what those tests can and cannot tell you. It can help to keep two questions apart. The first is whether such a system is possible at all, which is a question about science and engineering. The second is what we should do now given that we are uncertain, which is a question about judgement and risk. People can agree on one and disagree on the other. You do not need a technical background to follow the debate. You need patience with unfamiliar terms, and a willingness to ask what evidence sits behind a claim.