Core Viewpoint - The article discusses the tension between the grand narrative of AI and the practical challenges faced by product managers in implementing AI solutions, highlighting the gap between theoretical concepts and real-world applications [1][2][9]. Group 1: AI Product Development Challenges - Product managers are overwhelmed by the rapid advancements in AI technologies, such as GPT-5 and Kimi K2, while struggling to deliver a successful AI-native product that meets user expectations [1][2]. - There is a significant divide between those discussing the ultimate forms of AGI and those working with unstable model APIs, seeking product-market fit (PMF) [2][3]. - The current AI wave is likened to a "gold rush," where not everyone will find success, and many may face challenges or be eliminated in the process [3]. Group 2: Upcoming Global Product Manager Conference - The Global Product Manager Conference scheduled for August 15-16 aims to address these challenges by bringing together industry leaders to share insights and experiences [2][4]. - Attendees will hear firsthand accounts from pioneers in the AI field, discussing the pitfalls and lessons learned in transforming AI concepts into viable products [5][6]. - The event will feature a live broadcast for those unable to attend in person, allowing broader participation and engagement with the discussions [2][11]. Group 3: Evolving Role of Product Managers - The skills traditionally relied upon by product managers, such as prototyping and documentation, are becoming less relevant due to the rapid evolution of AI technologies [9]. - Future product managers will need to adopt new roles, acting as strategists, directors, and psychologists to navigate the complexities of AI integration and user needs [9][10]. - The article emphasizes the importance of collaboration and networking in this uncertain "great maritime era" of AI development [12].