Artificial General Intelligence (AGI)

February 12, 2026
|By Julia Schönau

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Definition and delimitation of AGI

Artificial General Intelligence (AGI) refers to a hypothetical artificial system that has the ability to understand and learn any intellectual task that a human being can understand and learn. It is assumed that AGI will have at least equal or superior capabilities to humans in all cognitive and intellectual areas. The development of AGI is a central research goal in the field of artificial intelligence, but has not yet been achieved.

In contrast, the artificial intelligence that is widely used today is referred to as artificial narrow intelligence (ANI) or weak AI. ANI systems are limited to specific tasks and areas of application and cannot perform in other domains. Examples of this include current chatbots, voice assistants, and image recognition systems. AGI, on the other hand, would be universally applicable and could transfer and apply knowledge and skills across different areas.

Properties and characteristics of an AGI

Artificial general intelligence would replicate the entire spectrum of human cognitive and intellectual abilities. These include learning ability, understanding natural language, the ability to reason and plan, problem-solving skills, and the ability to adapt to new situations. Such a system would possess "common sense" and be able to solve complex problems in environments and contexts for which it has not been explicitly trained. Open questions remain regarding the consciousness or sentience of AGI, which also touches on philosophical dimensions of the research.

Current status and research perspectives

Despite significant advances in the field of artificial intelligence, artificial general intelligence is still considered a distant dream. Current AI systems, including advanced language models, demonstrate remarkable performance in specific areas, but do not yet reach the level of AGI. It is believed that the development of AGI will require various AI concepts and technologies such as machine learning, deep learning, artificial neural networks, natural language processing (NLP) and computer vision. Researchers have different estimates of the exact time frame for the possible realization of AGI, with predictions ranging from a few years (interview with Demis Hassabis, CEO of Deepmind, and Sergey Brin, co-founder of Google) to several decades.

AGI in the context of conversational AI and AI agents

In the field of conversational AI and the development of AI agents at BOTfriends, specialized AI systems are used. These systems, such as chatbots and voicebots, are examples of artificial narrow intelligence, as they are trained for specific conversation flows and tasks. Future artificial general intelligence could fundamentally change the possibilities of conversational AI and AI agents. AGIs could be capable of conducting highly complex dialogues autonomously, applying knowledge flexibly, and adapting independently to new conversation requirements and topics without the need for extensive reconfiguration or retraining. The vision of AGI therefore represents a long-term horizon for the further development of intelligent automation solutions.

 

Frequently Asked Questions (FAQ)

Artificial General Intelligence (AGI) is characterized by the ability to solve any intellectual task at human level or better, without being limited to a specific domain. In contrast, conventional or "weak" AI (Artificial Narrow Intelligence) specializes in performing specific tasks in predefined domains. Current chatbots or image recognition systems fall into the category of weak AI, while AGI would be a universally applicable and adaptive system.

There is no general consensus on the exact point in time when fully functional artificial general intelligence (AGI) could become a reality. Expert estimates vary considerably, ranging from possible development within the next five to ten years to forecasts that estimate it will take another 20 years or more. Despite their advanced capabilities, current AI systems are not yet considered AGI.

For conversational AI systems, such as those developed by BOTfriends, artificial general intelligence (AGI) would have a transformative significance. Today's conversational AI is trained for specific use cases. AGI, on the other hand, could independently develop new conversation strategies, use knowledge across contexts, and adapt flexibly to unforeseen conversation situations, which would mean far greater autonomy and problem-solving ability in interaction. AGI thus represents a long-term goal in the development of highly intelligent conversation systems.

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