In agentic AI systems, distributed intelligence refers to a paradigm where intelligent processing, decision-making, and problem-solving capabilities are not centralized but are spread across multiple, interacting AI agents. This collective arrangement enables the system to address complex problems that exceed the capacity of any single agent, leading to emergent behaviors and the achievement of collective goals.