A techie who walked away from a Rs 75 lakh per annum pay cheque to chase a startup dream is now going viral for a very different reason. Not for the exit, but for what came right after it. In a post that has been doing the rounds on LinkedIn, the founder revealed that the very product they built their company around was wiped out within a month, thanks to ChatGPT and Google's AI tools doing the job for free. It is the kind of story that makes founders wince and scroll-happy readers pause.The product that AI ate aliveAccording to the post, the founder's first product simply stopped mattering once generative AI tools became good enough to do the same thing. There was no dramatic villain, no funding crunch, no scandal. Just two tech giants releasing tools that made an entire business model redundant overnight. Every single customer left within 30 days. Not most. All of them.For a founder who had traded a comfortable, high-paying corporate job for this, that kind of collapse is not just a business setback. It is personal.Seven months to find a new direction, nine more to build itWhat followed wasn't a graceful pivot montage. It took seven long months just to figure out what to build next, and another nine to actually build it into something usable. That is well over a year of uncertainty, spent figuring out how to survive after your original idea has been rendered pointless by forces completely outside your control.Even now, things aren't easy. The founder admits the startup's runway is thinner than they would like. B2B sales cycles, notoriously slow, are stretching to three or four months per deal. And the search for investors continues, with the founder specifically looking for backers who actually understand the new idea rather than ones chasing trends.'This isn't a scare story, it's the real cost of building'What makes the post stand out isn't the failure. Founders fail all the time, and most don't talk about it publicly. It's the honesty about what staying in the game actually demands. The founder writes that building a company requires an almost irrational, borderline delusional level of self-belief, because nearly everything that can go wrong, eventually will.There's a particularly relatable line buried in the post: most days, founders feel foolish for not simply taking a monthly salary instead. Everyone likes to say that knowing when to quit is a sign of wisdom, the post argues, but in the middle of the chaos, you never actually know. You just want one more shot, convinced this time it will click.And yet, despite the chaos, the founder says they wouldn't trade the experience. They call the thrill of building something of your own inexplicable, something no job could have taught them, even if the business shuts down tomorrow.The internet reacts, and one comment nails the real problemThe post has picked up a wave of support in the comments section, with many praising the founder for putting into words what most entrepreneurs quietly go through but rarely admit out loud.One comment, however, cut closer to the industry-wide issue at play. LinkedIn user Khyati Thakur pointed out that building a product has become relatively easy these days, but selling it is the real battle. She added that any startup, particularly one built as a thin layer or "wrapper" around existing AI models, risks becoming obsolete overnight, because as the underlying AI models keep getting smarter, they end up solving the very same problems those wrapper products were created for.It's a warning that a lot of early-stage founders in the AI space are quietly grappling with right now: build something AI can replicate in a weekend, and you're building on borrowed time. This story lands at a moment when dozens of startups built purely as interfaces over large language models are facing the same existential question. As OpenAI, Google and other AI labs push out increasingly capable, all-in-one tools, the space for thin AI wrapper products keeps shrinking.For now, this founder is still standing, still hunting for the right investor, and still building. Whether that persistence pays off is anyone's guess. But if nothing else, the post is a blunt reminder that in the AI era, no idea, however clever, is safe from becoming irrelevant by the time it reaches the market.