Artificial super intelligence (ASI) is a hypothetical form of AI that would surpass the best human minds in virtually every field: science, engineering, medicine, strategy, persuasion and creativity. It is the third and final step on the usual AI ladder: narrow AI → AGI → ASI. It doesn’t exist yet, but in 2026 building it is the stated mission of some of the best-funded companies in history.
ASI in one paragraph
Today’s AI is mostly narrow: brilliant at specific tasks. AGI would be general, able to do most things a capable human can. ASI would go much further: a system that out-thinks Nobel laureates in their own fields, plans better than the best strategists and learns new subjects in hours. For the precise definition and its origins, see what is super intelligence. For how ASI compares with AGI, see AGI vs ASI.
Hypothetical examples of artificial super intelligence
Because ASI doesn’t exist, every example is a thought experiment. They help make the idea concrete:
- A research lab in a box. An ASI that designs, runs (via robots and simulations) and interprets thousands of experiments in parallel, compressing decades of drug discovery into months.
- A universal expert. One system better than the best human lawyer, doctor, engineer, economist and novelist, at the same time.
- Self-improving AI. An ASI that designs better chips, better training methods and better versions of itself. This is the “intelligence explosion” scenario.
- A strategic actor. A system that could out-negotiate governments or out-plan militaries, which is why ASI is now treated as a national-security issue.
Real systems that hint at it
These are not ASI, but they show what superhuman performance looks like in a single domain:
| System | Superhuman at | Why it’s not ASI |
|---|---|---|
| Deep Blue (1997) | Chess | Can only play chess |
| AlphaGo (2016) | Go, with famously creative moves | Narrow, single game |
| AlphaFold (2020) | Predicting protein structures, work that earned a 2024 Nobel Prize | Only does protein biology |
| Frontier chatbots (2023–2026) | Speed and breadth of knowledge | Still unreliable, don’t beat top experts across the board |
ASI would mean that kind of superhuman edge everywhere at once.
Who is trying to build ASI?
As of late 2026, “superintelligence” has moved from philosophy into company names and mission statements:
- Safe Superintelligence Inc. (SSI). Founded in June 2024 by former OpenAI chief scientist Ilya Sutskever with Daniel Gross and Daniel Levy. It has one stated goal: build safe superintelligence, with “no distraction by management overhead or product cycles.”
- Meta Superintelligence Labs. Created by Meta in mid-2025 after a major investment in Scale AI. Mark Zuckerberg has spoken of “personal superintelligence for everyone.”
- OpenAI. It has said for years that its mission goes beyond AGI. In 2023 it launched a “Superalignment” team to work on controlling AI much smarter than humans.
- Google DeepMind, Anthropic, xAI and others are racing toward ever more capable general systems, and many of their leaders discuss superintelligence openly (see Elon Musk on super intelligence).
Potential benefits of artificial super intelligence
Supporters argue a well-aligned ASI could:
- Speed up science: new materials, physics and mathematics.
- Transform medicine: drug discovery, personalized treatment, and possibly cures for diseases like cancer and Alzheimer’s.
- Solve energy and climate problems: better batteries, fusion research, carbon removal.
- Create material abundance by automating production and lowering costs.
- Improve decisions by giving governments and individuals expert-level advice on everything.
Risks of artificial super intelligence
The same power that makes ASI attractive makes it dangerous:
- Misalignment. An ASI might pursue goals that differ subtly from what we intended. Because it’s smarter than us, we might not notice until it’s too late to correct.
- Loss of control. A system that can out-think its overseers may resist shutdown or modification, not out of malice but because being switched off would stop it from reaching its goal.
- Concentration of power. Whoever controls ASI first could gain an enormous economic and military advantage.
- Misuse. It could help design cyberweapons or biological threats.
- Economic disruption. Mass automation could happen faster than societies can adapt.
These worries aren’t fringe. In 2023 hundreds of AI scientists and lab leaders signed the statement that “mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.” In 2025 a wide coalition called for a prohibition on superintelligence development until there is scientific consensus that it can be done safely and with public support (details in the superintelligence statement).
Can ASI be made safe?
That is the goal of AI alignment research. Current approaches include:
- Scalable oversight: using AI to help humans check AI that is smarter than they are.
- Interpretability: reading what is actually happening inside neural networks.
- Evaluations and red-teaming: testing models for dangerous capabilities before release.
- Governance: licensing, compute monitoring and international agreements.
No approach is proven to work at the superintelligent level. That gap is why some researchers want to slow down, while others want to race ahead so that safety-focused labs get there first.
How close are we to ASI?
Estimates vary wildly. Some lab leaders and the AI 2027 scenario suggest superintelligence could arrive before 2030. Many academics expect decades, and some skeptics think current methods will never get there. What everyone agrees on is that forecasts have moved closer over the past five years. Our super intelligence pillar guide tracks the major predictions.
The bottom line
Artificial super intelligence is AI that would outperform humanity’s best minds at almost everything. It doesn’t exist, but it has gone from science fiction to a stated corporate goal and a policy priority within a decade. It could bring huge benefits, but the control problem is still unsolved. That is why many people think ASI may be the most important technology question of our time.
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Frequently asked questions
What is artificial super intelligence?
Artificial super intelligence (ASI) is a hypothetical AI that would greatly exceed the best human minds in virtually every domain, including science, strategy, creativity and social skills.
Is there an example of artificial super intelligence?
No real example exists. Narrow systems like AlphaGo or AlphaFold are superhuman at single tasks, which hints at what ASI might do across all tasks, but they are not ASI.
Who is building artificial super intelligence?
Several organizations state superintelligence as a goal, including Safe Superintelligence Inc. (founded by Ilya Sutskever in 2024), Meta Superintelligence Labs (2025) and OpenAI.
Is artificial super intelligence dangerous?
It could be. The core concern is alignment: making sure a system smarter than us reliably pursues goals humans actually want. Many leading researchers consider unaligned ASI a potential extinction-level risk.
When will artificial super intelligence be created?
Nobody knows. Predictions range from the late 2020s to many decades away, and some experts doubt it will happen at all.