Zaid

The best way to understand agentic AI is comparing it to what came before it, which was generative AI.

Now I'm talking about the chat GPT moment.

With generative AI, people would type in a prompt and the AI would give you an answer.

Now people could generate text, images, code, even video, all with a simple prompt.

You could ask the AI to create a workout plan for you or rewrite an email or write a history essay or a business strategy, and the AI would give you an answer within seconds.

When this technology first dropped, it was a huge breakthrough and the adoption exploded overnight.

In fact, ChatGPT grew to 100 million monthly active users within two months of its launch.

I mean, that is the fastest service to reach 100 million users ever.

Today, ChatGPT has more than 900 million weekly users with about 50 million people paying for premium features.

I am one of those people that pays for ChatGPT.

And look, it's not just ChatGPT anymore.

Other tools have popped up like Anthropix Cloud and Google's Gemini, all of which have hundreds of millions of users.

So these tools are amazing and very popular, but they do require the user to be in the driver's seat.

You know, you ask it a question, it gives you an answer, but the AI can't actually do anything in the real world.

You know, it can't log into your email and reply to all the unread messages.

It can't file your taxes.

It can't manage your calendar.

It's just good at generating outputs like text, images, and video.

But what agentic AI does is it takes it a step further.

Instead of the AI just answering your question, AI agent can break down a task into steps.