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What Is AGI?

Artificial General Intelligence (AGI) refers to AI systems with general reasoning capabilities comparable to human intelligence across most domains, the ability to learn and transfer knowledge as humans do. No current AI system meets this definition.

Definition

Artificial General Intelligence (AGI), a hypothetical AI system capable of understanding, learning, and applying knowledge across the full range of tasks at which humans are capable, rather than being narrow to a specific domain.

AGI has no agreed technical definition. Different frontier labs use different operational definitions, OpenAI references "highly autonomous systems that outperform humans at most economically valuable work"; DeepMind has published a tiered framework (Levels 0–5). Most current AI systems, including frontier large language models, are narrow AI, extraordinarily capable in some domains while limited in others. The governance question of how to prepare for advanced AI is increasingly being addressed even where the technical question remains open.

Source: DeepMind AGI Levels framework; OpenAI mission statement

Common questions

Does AGI exist today?
No. Current AI systems, including the most capable large language models, are not AGI by any rigorous definition. They excel in specific domains but cannot generalise across domains as humans do.
When will AGI arrive?
Credible experts disagree significantly, from "within this decade" (Demis Hassabis, Dario Amodei) to "may never arrive in the form imagined" (Yann LeCun). The governance-relevant insight: build frameworks that work across scenarios.
What does AGI mean for my organisation now?
The near-term governance challenge is not AGI but highly capable AI systems in the next 3-5 years, agentic AI, superhuman performance in specific domains, and AI that can autonomously complete complex tasks.
How is AGI different from frontier AI?
Frontier AI refers to the most capable current AI systems. AGI is a theoretical future threshold. Enterprise governance should focus on frontier AI governance now, with AGI scenario planning as a longer-term exercise.