For the past 5 decades, Urology as a specialty has led innovation in the surgical sciences from the front. Currently, urological surgeons consistently innovate and disseminate their surgical techniques to improve patient outcomes. However, this incremental innovation just substitutes one technique for the other and leads to endless argument on which one is better. Our efforts fall short of matching the current technological revolution in the fields of parallel computing, cloud computing, machine learning and speedy connectivity. The application of digital technologies has led to success stories in the areas of autonomous driving, gaming and business intelligence. The next generation of automated surgical robots or decision support tools will be a distant possibility, despite the robotic industrial revolution, unless urologists actively get involved with the new culture of data sciences and work in complete coordination with Artificial Intelligence (AI) model builders.