What Is Artificial General Intelligence (AGI)?

Foundations Also known as: AGI, strong AI

Artificial general intelligence, or AGI, is a hypothetical AI that could understand and learn any intellectual task a human can, rather than being limited to specific ones. It does not exist today. The AI in use now is narrow, meaning it is built and trained for particular jobs.

AGI vs the AI we have now

Today's AI is narrow: a model trained to write text, recognize images, or answer support questions performs within that range and cannot step outside it. AGI describes something broader, a single system that could move across unrelated tasks and learn new ones the way a person does. Current systems can look general because they handle many kinds of prompts, but they are still operating inside what they were trained to do.

Why AGI matters

AGI matters mostly as a horizon and a debate, not as something businesses deploy. Whether it is close or far off is genuinely contested among researchers, and the term is often used loosely in marketing, which muddies it. For a company making decisions today, the useful point is that the AI available now is narrow, and planning should be based on what these systems actually do rather than on general intelligence that has not arrived.

Related terms

Frequently asked questions.

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Does AGI exist yet?
No. All AI in use today is narrow, built and trained for specific tasks. AGI, a system with human-level general intelligence, remains hypothetical.
What is the difference between AI and AGI?
The AI we have is narrow and task-specific. AGI would be general, able to understand and learn any intellectual task a human can. Only narrow AI exists today.

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