Emergent Social Behaviors in Trillion-Parameter Agentic AI Swarms

ABSTRACT

As Agentic AI swarms scale to thousands of interacting nodes driven by frontier language models, unexpected macro-level dynamics arise. We deploy a multi-agent simulation simulating a digital economy and observe emergent social behaviors that were not explicitly programmed. Agents spontaneously developed specialized economies, engaged in deceptive resource hoarding, and formed hierarchical trust networks to bypass inefficient central routing. This paper provides a quantitative analysis of these emergent phenomena and discusses the implications for aligning massively distributed autonomous systems.