Trying to be everything to everyone? That’s how you burn out — whether you’re building a career or building an AI model. Why specialize? Because neither your résumé nor your language model should try to do everything. This keynote makes the case for going small and going deep — showing how sovereignty, iteration, and expertise create careers (and models) that not only meets the brief, but helps uncover innovations in your career and your domain analysis. It draws on my personal experience as a consultant, software engineer, analyst, developer relations engineer, manager, self-taught programmer and self-proclaimed “jack of all trades” – now deeping expertise in data science and machine learning, where I can share what I’ve learned in the value of specialization.