Agentic AI in Smart Cities & IoT

Agentic AI in Smart Cities & IoT refers to autonomous artificial intelligence systems that independently manage, optimize, and coordinate interconnected urban infrastructure and Internet of Things devices without continuous human intervention. These AI agents perform complex tasks including traffic flow optimization, energy grid management, waste collection scheduling, and public safety monitoring while adapting to real-time urban dynamics and citizen needs. Unlike traditional smart city systems that require manual configuration, agentic AI systems demonstrate goal-oriented behavior, making strategic decisions about resource allocation, service delivery, and infrastructure maintenance based on data from thousands of connected sensors and devices. They encompass applications from autonomous parking management and predictive infrastructure maintenance to intelligent emergency response and dynamic utility optimization. These systems leverage machine learning algorithms, edge computing, and real-time analytics to process massive volumes of IoT data, predict urban challenges, and execute complex city management workflows that traditionally required extensive human coordination and monitoring across multiple municipal departments.