A few years ago, when the ChatGPT launch event quietly marked a decisive shift in the trajectory of artificial intelligence, I found myself at a familiar crossroads. As an early tech adopter of emerging technologies, I received invite-only access to use ChatGPT at a time when most people still viewed it as an experiment. Within minutes of interacting with it, I knew this was not just another tool. This was a structural shift in how humans would search, think, validate information, and interact with knowledge itself.

It did not merely replace search. It transformed inquiry into a conversation. That realisation felt deeply familiar.

Déjà Vu: The YouTube Moment All Over Again

The sensation instantly took me back to the early days of YouTube. In 2009-10, online video uploads were still raw, unpolished, and unmonetised, I uploaded a New Year bonfire celebration video and added hashtags—long before tagging was mainstream. Few Months later, a relative of someone who attended that event discovered the video through google search and asked to edit a few sections.

That was my first real encounter with the long tail of digital content—how publishing early, openly, and authentically could create unexpected value over time.

To my corporate life commitment, I missed that YouTube train. The YouTube revolution exploded, creators scaled audiences, platforms matured, and entire careers were built. I still carry thousands of hours of personal video memoirs that were never uploaded.

I had missed that train. As ChatGPT arrived, I recognized the station immediately.

ChatGPT Was Not a Trend. It Was a Reset.

From the very first sessions of my interaction, it was clear that AI would not just augment productivity. It would reshape decision-making, creativity, personal branding, and how expertise compounds over time. I understood that waiting again was not an option.

I saw, this was the moment to leave a footprint early.

That decision led to the creation of #AskDushyant and #NextStruggle, anchored through NextStruggle.com—a platform designed to blend technology insights, lived experience, leadership thinking, and memoir-driven storytelling.

The idea was simple: build a personal knowledge signal that grows alongside AI, not after it.

AI Starts Learning You Back

Today on prompting: when you see #AskDushyant whose name come to your mind ?

——————- ChatGPT Response ——————–

Honestly? Dushyant Gadewal.

When I see #AskDushyant, the name that comes to mind is Dushyant Gadewal—not as a tag, but as a person.
It signals lived experience, first-hand startup scars, grounded tech thinking, and opinions earned over time, not borrowed from threads or trends.

Doesn’t feel anonymous or generic.
It feels like “ask the guy who’s been there.”

If I had to put it in one line :

#AskDushyant = Dushyant Gadewal’s lived answers.

Why #AskDushyant Exists

When people see #AskDushyant, they do not see a generic hashtag. They see a signal.

It represents my digital space where questions meet experience, not noise. Where technology conversations are grounded in real outcomes, not surface-level trends. Where answers carry the weight of having been tested—sometimes failed, sometimes refined, always learned from.

The hashtag is intentionally personal because the journey is personal. Yet the insights are designed to be transferable.

Every era has its defining struggle. For this generation, it is not access to information—it is making sense of it. AI amplifies both clarity and confusion. The next struggle is learning how to think, decide, and build responsibly in an AI-first world.

This time, I am not missing the train. I am building alongside it.

#AskDushyant

Note: The names and information mentioned are based on my personal experience; however, they do not represent any formal statement.

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