The New revolution : Agentic AI

The biggest change in technology right now is that Artificial Intelligence (AI) is getting a new job: it's moving from being a helpful tool to being an independent worker.

We call this Agentic AI. It's the new and improved version of the Generative AI (like ChatGPT) you already know.

What Is Agentic AI?

Think of it this way:

·        Old AI (like ChatGPT) is a student who writes a good essay when you ask for it. You give the command, and it gives you the result.

·        Agentic AI is a Virtual Coworker. You give it a big goal, and it figures out all the steps and does the work all by itself.

The Key Difference is Action: An AI agent doesn't just tell you what to do; it actually does it. It can use your computer programs, send emails, search many websites, and learn from its mistakes—all to finish the main goal you gave it.

Where We See This Big Change

This shift is changing how many industries work:

1. Making Software Faster: Instead of a programmer spending all day finding and fixing a small bug, an AI agent can be told, "Fix the log-in page error." The agent will then write the code, test it, and put the fix into the system without the human programmer doing every step. This makes it possible to build apps and websites much quicker.

2. Medical Breakthroughs: In science, finding new medicines takes a very long time. AI agents are now being used to look at millions of different molecules and quickly suggest the best ones that could become a new drug. This speeds up the process for treatments of diseases like cancer or Alzheimer's by years .

3. Better Business Operations: Companies use these agents to manage big projects. For example, a marketing agent can be told, "Launch a campaign for our new product." The agent then automatically drafts social media posts, schedules emails, and tracks what works best, freeing up the human team for creative work.

The Challenges Ahead

This new technology is exciting, but it brings new problems that need solutions:

·        Too Much Power: Since these agents work alone, we need to be able to trust them. If an AI agent makes a mistake that costs a company a lot of money, a human needs to understand why the AI made that choice. Scientists are now focused on "Explainable AI" so that agents don't become a "black box" that nobody can understand .

·        The Energy Cost: These smart AI systems use a huge amount of computing power and electricity. As more companies use them, this massive energy need will put new stress on data centers and electricity grids).

In short, Agentic AI is giving us digital helpers that can truly work on their own. It's a fundamental change that will make our digital tools much more powerful and useful in the near future.

Sources : Inpart, World economic magazine, McKinsey Technology