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Is Agentic Al India's Next Big Tech Revolution?

Open Source For You

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October 2025

We are entering the era of agentic Al, where machines do not just generate answers but take decisions and actions to achieve goals. Let's find out how.

Over the past fifty years, computing went through five distinct epochs.

Each transformed how humans interacted with technology, created new leaders, and reshaped industries. These changes were not gradual but sharp turning points.

In the early 1980s, personal computing put processing power on individual desks. For the first time, a knowledge worker could directly manipulate data, create documents, and run applications without waiting for a centralised mainframe team to allocate resources.

The internet revolution of the 1990s broke the physical isolation of these machines, linking them into a global fabric of information, commerce, and collaboration. Borders blurred, and markets globalised overnight.

In the early 2000s, cloud computing changed the economics of IT. Companies no longer had to purchase and maintain massive infrastructure. Computing became elastic; you could spin up a data centre's worth of capability in minutes and pay only for what you used.

By the 2010s, mobile computing had shifted the centre of gravity again. The smartphone was no longer just a phone — it was a powerful, connected computer in the pocket of nearly every adult on Earth, changing everything from banking and entertainment to public health monitoring.

And now, in the 2020s, we are in the midst of the generative and agentic AI revolution. This is the first computing paradigm where the machine is not simply executing pre-defined instructions from a human programmer, but is capable of learning, reasoning, and acting on its own to achieve goals.

Why is this shift different?

Previous computing shifts were primarily about increasing capability like more speed, more storage, and more connectivity. This shift is about autonomy.

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