Monday, June 8, 2026

From JU to ChatGPT — What Twenty-Four Years in Communications Taught Me About the Latest "Revolution"

 

In the summer of 2002, I had no plan. I had a degree and a vague, urgent feeling that I wanted to work with words and ideas. I cleared a written exam, sat before a faculty board at Jadavpur University — alone, a little nervous — and explained why I wanted to study Mass Communications in the evening class.

That was the beginning.

learning about the newest city of my life- Kolkata. Love and Hate relationship with this city, still goes on. Newspaper writing and its craft was straightforward: find something true, make it clear, give it to people. The machines involved were a computer and a dial-up connection. I worked as a struggling reporter journalist in Kolkata, putting up in a 5X3 mess bari at Moulali, for long was getting difficult. Hated to leave the city, but 2004 had different plans for me. I moved to New Delhi. writing blogs, managing operations for a Noida based KPO Vedainformatics, with a team of ‘writers’ and super writers. learning backend coding and knowing what CMS’s are — "content writing" as it was beginning to be called. My journalist friends considered it a step sideways. I considered it a laboratory. The web was a different kind of reader: patient for structure, impatient with obscurity, completely indifferent to ego.

Over the next decade and a half, I watched every platform getting launched with its own promises. Yahoo Chat Rooms, Orkut. Facebook. Twitter. YouTube, Instagram, LinkedIn. Each one was declared a revolution and we were awed, some of friends, cringed till date. Privacy is gone. Each one (platform) was, in some way. Each one also eventually became another surface to navigate.

In July 2022, I incorporated TDC Ventures with my late father as co-director. We sat with a CA in Bhowanipore and signed the papers. Two months later, ChatGPT entered the world for public use.

I started using it in September 2022. Not experimentally. As a practitioner. I wanted to understand what it could do and what it couldn't — because that distinction would matter professionally, and quickly.

It mattered. Quickly.

Cut, 2026- Last week, Neil Patel — who has spent twenty years teaching people to rank on Google — sent me an email explaining Answer Engine Optimisation. How AI assistants now build responses from published content. How businesses whose content the engines trust will win. How AnswerThePublic can show you what questions people are asking.

It was a good email. The advice is sound.

But what struck me was the strange completion of a circle. A marketer who made his name on search algorithms is now explaining to a Kolkata-based communicator — who started in print journalism before Google Analytics existed — that the machines have changed again. The answer engines are different from the search engines. The rules have shifted.

And yet.

The thing AI engines pull from is clear, useful, well-structured content. The thing Google rewarded was clear, useful, well-structured content. The thing a good editor wanted in 2002 was clear, useful, well-structured content.

The engine is new. The job is old. People are asking questions, and during the print era, people had to wait 24 hours to get the answers. People, then would still be solving this problem – to answer people.

I think about this often: the people most rattled by AI in communications are the ones who were primarily optimising for the machine — the keyword stuffers, the listicle factories, the volume-over-value shops. They built for algorithms and the algorithm changed on them.

The ones who have been writing for people — with real perspective, real experience, real care about clarity — are finding that AI engines treat their content as source material. Because it is.

I'm not nostalgic for print journalism. I'm not mourning the old ways. I built TDC Ventures precisely because I believe lean, AI-augmented teams can now punch far above their weight class. I use AI agents, as instruments the way a journalist uses a notebook — to think faster, draft cleaner, research deeper.

But I do think the Millennial communicators — the ones who crossed from print to web to social to AI without ever having had a stable medium — have something that the pure digital natives don't quite have yet: memory of the full arc. We know what it felt like when each revolution arrived. We know what survived each one.

What survived was the same thing every time: honest work, clearly expressed.

That's the answer any engine will eventually reward. It always has been.


From JU to ChatGPT — What Twenty-Four Years in Communications Taught Me About the Latest "Revolution"

  In the summer of 2002, I had no plan. I had a degree and a vague, urgent feeling that I wanted to work with words and ideas. I cleared a w...