You Can't Prompt the Room: The Last Skill AI Won't Replace - Balázs Horváth, VisualLabs

AI has fundamentally shifted the bottleneck in software development from writing code to identifying the right problems to solve. While AI excels at pattern recognition and code generation, it cannot replace the human ability to elicit requirements, understand stakeholder needs, and "read the room." To build truly valuable software, teams must adopt a Value Architecture Design (VAD) approach, prioritizing business outcomes over mere feature velocity. By utilizing traditional analyst tools like story mapping and business model canvases, developers provide the necessary context for AI to produce high-quality, relevant specifications. Success now depends on shifting the focus of top talent toward customer-facing problems and measuring impact through actual usage frequency rather than the number of features shipped. This transition requires re-integrating classic product management skills into the modern, AI-driven development lifecycle to ensure teams build what is worth building.