general AI (AGI)

in English: artificial general intelligence

basicoutlook

A theoretical artificial intelligence that can solve almost any intellectual task at least as well as a skilled human.

In plain terms

Most current AI systems are like excellent specialists: they are incredibly good in one area (writing, image recognition, chess) but easily lose confidence outside their own domain. General artificial intelligence, by contrast, would be the 'all-rounder' colleague who can be trained for any intellectual task and can figure things out on their own in a never-before-seen situation.

The essence is not how smart the machine is at a specific task, but how versatile it is. AGI would be able to interpret contracts, plan research, write code, and learn new professions with the same 'mind', just as a human can change careers.

It is important to know that AGI has no single, universally accepted definition. Some understand it as human-level thinking, others as the machine being able to perform most economically valuable work. Therefore, when a CEO or researcher says "AGI is near," it is always worth asking: what exactly do they mean by it?

How it works

The starting point is narrow AI: today's systems are trained for specific tasks or task groups on vast amounts of data.
Large language models already solve many types of tasks with a single system, so many consider them a milestone on the path to AGI.
Generality requires more than mere knowledge: reliable reasoning, persistent memory, long-term planning, and learning from few examples in new situations.
Agents try to approach this: the model uses tools, breaks tasks into steps, and works autonomously for longer periods.
Whether a system is AGI is not decided by a single test: researchers think in degrees and measure how many types of tasks it performs and at what level it matches humans.

An everyday example

You read in the news that one AI company leader says 'AGI will be here within a few years,' while another researcher says we are still decades away. Both are talking about the same word but mean different things. Meanwhile, the chatbot on your phone writes a great letter, but you would not entrust it with a multi-day, independent project without supervision.

Who is affected

everyoneIf realized, it could simultaneously reshape how work, education, and science function, meaning debates about it affect you too.

employeeThe essence of AGI is that it could perform a wide range of intellectual tasks, so it could affect the future of most office professions. → Work & HR

investor, saverBehind the high market value of AI companies and massive data center investments lies partly the promise of AGI. If this promise is delayed, it can also affect the value of these investments.

lawyer, citizenRegulations and safety rules also address who is responsible for a highly capable, autonomous system. → Law

A common misconception

MythChatGPT and its peers are already general artificial intelligence, since they can answer almost anything.

In realityToday's chatbots are surprisingly capable in many areas, but their reliability fluctuates, and they often make mistakes in long, independent tasks. There is no professional consensus on whether any current system qualifies as AGI.

Limits and risks

There is no unified definition, so claims of "we have reached AGI" cannot be verified unequivocally.
Predictions regarding timing vary widely and often serve business interests, so treat them with caution.
AGI does not imply consciousness or feelings: the concept concerns capabilities, not whether the machine experiences anything.
A highly capable, autonomous system also carries risks: it is difficult to guarantee that its goals and decisions will remain aligned with human interests.

Similar, but not the same

Narrow artificial intelligence – Narrow AI is designed for a single well-defined task, whereas AGI could be applied to any intellectual task.
superintelligence – AGI roughly refers to human-level capability, while superintelligence means the machine far surpasses the best humans in every field.
generative AI – Generative AI is an existing technology that produces text, images, or audio, while AGI is a capability level to be reached.

Related concepts

Broader

artificial intelligence

Narrower

–

On the edge

Narrow artificial intelligence, superintelligence, large language model, AI-agent, AI safety

A brief history

The idea of human-level machine thinking is as old as AI research itself. The name 'artificial intelligence' was first used by John McCarthy and colleagues in their 1955 proposal for the 1956 Dartmouth summer research workshop. The term 'artificial general intelligence' was used by Mark Gubrud in 1997; in the early 2000s, at Shane Legg's suggestion, Ben Goertzel and his circle popularized it, mainly through the 2007 book of the same title by Goertzel and Cassio Pennachin.

Where things stand

At the end of 2026, there is no system that the profession universally recognizes as AGI. The most advanced models and agents are approaching human-level performance in a growing number of tasks, but it is disputed when, or even whether, the goal can be reached with today's methods.

Status: 2026 November

In the news

Appears in 5 Agent Age stories; the curve shows weekly occurrence in the news magazine.

Hassabis says AGI could arrive within two to three yearsOct 21, 2026 · Agent Age
Google and DeepMind launch institute to study the impact of AGISep 16, 2026 · Agent Age
ChatGPT, Grok, Claude and Gemini go down at the same timeSep 3, 2026 · Agent Age
OpenAI releases GPT-6 Astra and says the "AGI era" has begunSep 1, 2026 · Agent Age
Altman admits he overestimated how fast AI would disrupt the economyAug 24, 2026 · Agent Age

Also known as

AGI · general AI · artificial general intelligence · Strong artificial intelligence · human-level artificial intelligence · artificial general intelligence · strong AI · human-level AI

Sources

Morris et al. (Google DeepMind): Levels of AGI – Operationalizing Progress on the Path to AGI

This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.