What is Agentic AI?
TL;DR
An AI design philosophy where systems autonomously understand goals, plan, make decisions, and execute tasks iteratively. The biggest trend of 2026.
Agentic AI: Definition & Explanation
Agentic AI is a design philosophy and architecture in which AI goes beyond simple question-answering or passive instruction-following to autonomously understand goals, formulate plans, leverage tools, adjust decisions based on circumstances, and execute tasks. While traditional AI acts as a 'tool' awaiting human instructions, Agentic AI behaves more like a 'colleague' that takes initiative. It is the most prominent trend in the AI industry in 2026, named among Gartner's Strategic Technology Trends. Concrete examples include coding agents like Claude Code and Devin, and general-purpose task agents like Manus AI. Protocols like MCP and A2A are standardizing how agents connect with external tools and other agents, rapidly forming an Agentic AI ecosystem. By 2028, AI agents are projected to generate 29% of all AI-derived value.