"After 4 decades of startups, you develop a pattern. You see the opportunity, you build the team, you grind through the first year, you hit a rhythm and you either scale, fail or exit. I have lived this story my whole life. Restaurants, insurance, media, marketing, consulting - every business I started was in an industry that I did not know or understand when I started."
"In a restaurant, your product is food. In insurance, your product is a policy. You can sell specific benefits. In marketing, we sold leads. In AI, however, your product is a language model's ability to simulate human conversation, grounded in someone's actual personality, delivered through a real-time video avatar that looks and sounds like a real person."
"Then I decided to build an AI company. And everything I thought I knew went sideways. I was now a non-tech founder. I have to be honest; I have no idea how that works, and 6 months ago, I didn't even know AI could do it."
A seasoned entrepreneur with four decades of startup experience across diverse industries—restaurants, insurance, media, marketing, and consulting—discovered that building an AI company fundamentally differs from previous ventures. While traditional business success relies on understanding customers, margins, and execution, AI presents unprecedented technical complexity. The founder's extensive experience in non-tech industries taught them business economics and risk management, yet AI's core product—language models simulating human conversation through real-time video avatars—operates on principles entirely foreign to conventional business models. This revelation demonstrates that even veteran founders must recalibrate their approach when entering AI, as technical depth becomes as critical as business acumen.
Read at Entrepreneur
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