Artificial intelligence is entering a new phase. For the past decade, enterprises have focused primarily on predictive analytics and automation — using machine learning models to classify data, detect patterns and improve decision making. Today, a new paradigm is emerging: Agentic AI, systems capable of autonomously executing tasks and coordinating complex workflows. Yet despite the rapid growth of AI agents, the term itself is often used loosely. Many organizations describe any AI-powered automation as an “agent,” even when it performs only a single function. As enterprises move toward large-scale deployment of autonomous systems, a clearer framework is needed to understand how these systems will be structured.

Full report : AI is moving from single tools to a digital workforce. Specialized micro agents do the work, while macro agents manage the process and meta agents keep them in line.