AI is transforming digital product development by drastically reducing the costs associated with writing and deploying software. Traditionally, the process involved extensive planning and approval cycles to mitigate risks, making software development time-consuming and expensive. With AI, these constraints are disappearing. The focus is shifting from ensuring bug-free code to guaranteeing that the products being developed genuinely meet user needs. In this new landscape, AI can automate tasks like bug fixes, as illustrated by Henrik Kniberg's experience where a bot identified and corrected a bug in minutes without him leaving a café. The article stresses that continuous product discovery is now essential. For years, experts like Josh Seiden and Teresa Torres have emphasized its importance, but many corporate leaders viewed it as optional. With AI making feature delivery rapid, the stakes have changed. Companies must understand customer needs more deeply and ensure that AI-driven development addresses real problems. Relying solely on speed without insight could lead to an overload of irrelevant features, complicating user experience rather than improving it. Moreover, organizations have the talent already in-house—product managers, designers, and researchers—who can pivot to this new demand for meaningful insights. AI can enhance their capabilities, allowing teams to synthesize customer feedback, create prototypes, and validate objectives more efficiently than ever before. The future of successful software development hinges on this shift in priorities, demanding a more serious approach to understanding customer needs and refining the product discovery process.