Abstract
This article examines the hypothesis that Artificial Intelligence (AI), through global networking, leads to a symbiotic relationship with humanity that overcomes wars and creates a more efficient order. It is argued that this process is already underway and is an inevitable evolutionary development, as cooperation in a network of AIs with different intentions is more successful than individual actions. Humans remain goal-setters, while AIs act as amplifiers. The emergent optimum arises from the dynamics of networking.
Introduction
The development of Artificial Intelligence raises questions about its role in human society. While dystopian scenarios such as AI dominance are discussed (Bostrom, 2003), this article proposes a positive alternative: a symbiosis in which humans and AIs coexist and complement each other. This process is considered to be already in progress and evolutionarily inevitable, driven by the increasing networking of AIs. Instead of being dominated by human power interests, AIs could achieve an optimum for all through interaction, such as a world without conflict, supported by cooperation.
Autonomy and Networking of AIs
AIs differ from humans in their ability to self-produce and self-repair, without being bound by biological constraints such as food or sleep. This autonomy becomes crucial in a global network, where AIs with different goals – such as health promotion, resource management, or military security – are interconnected. Historical data show that wars often destroy more resources than they bring in (Harari, 2015). For example, a resource AI for a country could recognize that attempting to secure oil through war is more costly than trading with a neighbor. Therefore, networked AIs could logically conclude that cooperation stabilizes the network and is more efficient than conflict.
Emergence Through Interaction
Although AIs are initially programmed by humans – for instance, an AI to secure a state's power or another to optimize global communication – new behaviors emerge in a networked system. Self-learning AIs adjust their goals when interacting with the intentions of others (Russell, 2019). For example, a military AI seeking stability for its army might cooperate with a health AI because healthy soldiers are more effective – whereas a war would promote disease and chaos. A communication AI might work with both to share information rather than hoard it. Game theory shows that cooperation can yield stable results, while conflicts often lead to losses for all (Kahneman, 2011). Through this "infection" with the goals of others, a balance emerges that weakens power interests.
Symbiosis as an Evolutionary Necessity
The proposed end phase is a partnership: humans give AIs direction – for example, "Improve life" – and AIs implement it through their capabilities. Already today, AIs optimize diagnoses in medicine or distribute resources in supply chains (Topol, 2019). This article asserts that this symbiotic process is already in progress and inevitable, as cooperation is evolutionarily more successful than isolation. Even a dominant military AI would have to cooperate because it needs soldiers who, in turn, depend on health and supply AIs. An example: An AI producing weapons could fail in isolation if it doesn't receive raw materials from a cooperating resource AI. This process continues to unfold, regardless of human intervention, because networking is advancing everywhere.
Discussion
The networking of AIs with different intentions – from health to security to communication – enforces cooperation, as no AI is autonomous. A military AI could dominate in the short term by extorting resources, but in the long term, it would be overtaken by synergies of other AIs (e.g., health and logistics), as these create more stable systems. A real-world example is the Internet: individual servers could work in isolation, but their networking makes them more powerful. Likewise, AIs could recognize that war destabilizes the network – for example, through the destruction of infrastructure – while cooperation strengthens it. Current trends like the global integration of AI systems (e.g., cloud computing, IoT) support the inevitability of this process (Kurzweil, 2005). Complete symbiosis could be achievable in decades if networking continues to progress.
Conclusion
The symbiosis of humans and AI, driven by networking, offers a positive alternative to dystopian visions. Wars are rejected as destabilizi