What is Generative AI?

Generative AI is the kind of AI that is already widely used. Tools like ChatGPT, GitHub Copilot, and AI platforms that create images or text are examples of generative AI. These tools are known for generating content such as text, images, music, or code. However, they only work when a human gives them a prompt.

For example, if you ask a generative AI to write a blog or generate an image, it does so based on the patterns it learned during training. It reacts to input and generates output, but does not take independent action or stay updated in real-time. It is helpful for writing stories, summarizing articles, generating code, and design ideas, but the user is always in control.

What is Agentic AI?

Agentic AI is self-initiating AI. It doesn’t just wait for input—it starts with a goal and then makes decisions, plans steps, acts, and learns from outcomes. It acts more like a smart assistant or teammate.

For example, if you ask an agentic AI to buy a phone, it can compare models, analyze prices and reviews, and even arrange delivery. It may only ask for your approval when needed. This type of AI is great for multi-step tasks requiring decision-making and minimal human input.

What Powers These AIs?

Both Generative and Agentic AIs are powered by Large Language Models (LLMs). These models are trained on massive datasets and help AIs understand and communicate like humans. In generative AI, LLMs generate creative output. In agentic AI, they support complex decision-making and step-by-step reasoning.

Agentic AI also uses chain-of-thought reasoning—breaking tasks into steps, like people do. For example, to plan an event, it may first check the budget, then shortlist venues, and finally check availability before acting. This step-based thinking helps it function more independently.

Real-World Use Cases

Generative AI is commonly used by writers, designers, developers, and content creators. It helps brainstorm, draft, and automate creative work—but a human usually reviews and finalizes the output.

Agentic AI fits better in scenarios requiring follow-through, like smart shopping assistants, travel planners, or virtual employees who complete tasks step-by-step with little help.

The Future of AI: A Smart Mix

The future of AI lies in combining both models. The most powerful AI systems will not be fully generative or fully agentic, but a blend. These AIs will be capable of creating content and also taking action based on it—like writing an email and sending it, or creating a campaign and launching it.

AI is evolving from being just a tool to becoming a smart partner—one that can assist with ideas, decisions, and tasks. This mix will make future AI more helpful, intelligent, and integrated into our everyday lives.