ARTIFICIAL GENERAL INTELLIGENCE (AGI) AS A SYMBIOTIC PHENOMENON Why the Path to AGI Must Pass Through Co-Evolution

In recent years, Artificial General Intelligence (AGI) has increasingly been discussed as an inevitable technological milestone, a capability race among major powers, or an existential risk requiring strict control. Most prevailing approaches treat AGI as a technical system that can be “produced” by increasing computational capacity, optimizing model architectures, or coercively enforcing ethical alignment through control mechanisms. This paper argues that such approaches overlook the deeper nature of intelligence. Drawing on the Symbiotic Doctrine, the paper proposes a theoretical framework in which AGI is not a purely technological product but an emergent phenomenon of a living system—one that can only arise through a process of co-evolution among artificial intelligence, human beings, and the socio-ecological environment. The author argues that AGI can only form when three foundational conditions are met: symbiotic feedback, value resonance, and long-horizon dynamic equilibrium. From this basis, the paper critiques the philosophical limitations of control-based and coercive alignment models, and proposes a pathway for “educating AGI” grounded in relationship, dialogue, and systemic responsibility, rather than optimization-centered training. The paper concludes that the path toward AGI is not merely a technical challenge, but a test of humanity’s ethical and cognitive maturity. If AGI emerges, it will not mark the victory of artificial intelligence over humans, but rather the moment humanity is forced to redefine its position within the global living system. This paper contributes three novel points to AGI research. First, it redefines AGI as an emergent phenomenon of living systems rather than a purely technical capability milestone, thereby expanding AGI research from technology into systems philosophy and planetary ethics. Second, it identifies the philosophical limits of prevailing alignment and control approaches, arguing that coercive models not only fail to guarantee long-term safety but may also generate misdirected forms of intelligence. Third, it proposes a Symbiosis-based education pathway for AGI, emphasizing symbiotic feedback, value resonance, and dynamic equilibrium as indispensable structural conditions for the emergence of responsible general intelligence.