Why Everyone in Tech Is Talking About Agentic AI Right Now
In 2025, one of the most exciting jargon in the tech world is Agentic AI. I can say that its not just another upgrade to ChatGPT or AI tools—it’s a whole new way AI works.
In this blog, I will explains what Agentic AI is, why everyone’s talking about it, and how big companies like Google, IBM, and OpenAI are using it.
What is Agentic AI?
Agentic AI means AI systems that can act like agents—they don’t just answer your questions or follow one command. They can plan, take actions on their own, and complete tasks step by step.
Think of it like this:
A regular AI gives answers.
An agentic AI solves problems.
For example, instead of just answering “How do I create a website?”, an Agentic AI can open tools, write the code, test it, and even deploy the website—all by itself.
How Does This Agentic AI Work?
This Agentic AI has 3 main parts:
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Goals – What the AI wants to achieve (like.. write a report).
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Tools – Things it can use (for example, web browser, database, calculator).
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Memory – To remember what it has done before.
It can think, decide, and remember, just like a helpful digital assistant.
What Kind of Agent Does What?
There are different types of agents in Agentic AI. The most important one is:
Task Execution Agent – This agent is responsible for actually doing the job.
It takes actions like searching, writing, coding, or replying to emails.
Other agents may help with planning, monitoring, or managing tools. But the execution agent does the main work.
Agent Mode in ChatGPT
OpenAI recently launched Agent Mode in ChatGPT, where the AI acts more like a personal assistant than just a chatbot.
You can give it access to tools like:
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Browsing the web
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Using a Python code interpreter
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Reading your files
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Calling APIs
In Agent Mode, ChatGPT doesn’t just reply—it thinks and acts, helping you finish tasks automatically.
ChatGPT Agent vs. Regular ChatGPT
A regular ChatGPT just chats.
A ChatGPT Agent can:
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Use tools
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Keep memory
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Break tasks into steps
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Complete goals without being told every step
For example, you can say:
“Help me plan a 3-day trip to Japan with flight, hotel, and sightseeing.”And the agent will look up flights, suggest places, book hotels, and give you a full plan.
IBM RAG and Agentic AI Professional Certificate
IBM has launched a special course called IBM RAG and Agentic AI Professional Certificate. It teaches how to build retrieval-augmented generation (RAG) systems and use Agentic AI in real business projects.
In this course, you’ll learn:
How to build AI agents, How to add memory to your models, How to connect your agent with tools and databases etc.
It’s a great way for students and professionals to learn Agentic AI with real projects.
Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a new idea that helps AI agents remember what tools are available, what steps they’ve already done, and what comes next.
Think of MCP as the guidebook the agent reads from.
It tells the agent: What task it’s doing / What tools it can use/What it already knows etc.
This keeps everything organized and consistent, even in complex tasks.
Google Agentic AI Day
In early 2025, Google hosted an event called "Agentic AI Day".
At this event, they shared:
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How they’re using AI agents in Google Search, Gmail, and Docs
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New tools for developers to build AI workflows
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How agents can make life easier in daily apps
Google also showed how agents can write emails, make appointments, summarize meetings, and even help students study.
Also Read
FAQ
1. What Does Andrej Karpathy Say?
Andrej Karpathy, a well-known AI expert and former OpenAI researcher, has been very vocal about Agentic AI. He says: “The future is not just large language models—it’s agents that can use them.” He believes AI should not only think, but act. He’s working on new ways for agents to understand tools, memory, and user needs better.
2. Why Agentic AI is the Future
Agentic AI is changing everything—from customer support to coding, from teaching to marketing. It’s like having a super-smart helper that works 24/7. And the best part? You don’t need to be an AI expert to use it. Thanks to ChatGPT Agents, IBM’s certificate, and tools from Google, anyone can start building or using AI agents today.