# Agentic AI Architecture Demands Real-Time Databases
The development of agentic AI systems requires real-time database infrastructure to support autonomous decision-making and rapid data processing. According to SiliconANGLE, traditional database architectures may prove insufficient for the latency and performance demands of AI agents operating in dynamic environments. The shift toward agentic AI is driving technology providers to rethink database solutions for immediate data access and updates.
