Generative AI vs AI Agents vs Agentic AI | Features And Differences Explained |

[00:00:00]Everyone is using these words like they mean the same thing.

[00:00:05]>> [music] >> That is GenAI, AI agents, and agentic AI.

[00:00:09]But they're not same. GenAI is the AI that creates [music] content. It can write text, generate images, create videos, summarize documents, and answer [music] your questions. So when you ask AI to write email or create a script or design an image, that is generative AI.

[00:00:27]Now comes AI agents.

[00:00:29]An AI agent does not just [music] answer. It takes steps to complete a task. For example, instead of just saying, >> [music] >> "Here is the travel plan." So an AI agent can check your calendar, compare [music] flights, and search hotels, and suggest the best option. So guys, GenAI creates and AI agents act. Now is the agentic AI. That is a bigger idea behind this.

[00:00:54]Agentic AI means AI systems [music] that can plan, make decisions, use tools, remember context, and complete multi-step tasks with [music] less human guidance. In simple words, GenAI is like a smart creator, and AI agents are like digital [music] worker, and agentic AI is a system that makes these workers think, plan, and act. So the next big shift is just not AI giving answers.

[00:01:17][music] It's AI getting work done. And that is why AI agents and agentic AI are becoming important in 2026. Follow Simplilearn for more tech [music] insights.