Best of LinkedIn: Digital Products & Services CW 16/ 17

We curate most relevant posts about Digital Products & Services on LinkedIn and regularly share key take aways. We at Frenus support enterprise product teams with feature-by-feature competitive intelligence, enabling them to clearly understand how their products stack up against competitors and make data-driven product decisions. You can find more info here:https://www.frenus.com/usecases/product-feature-benchmarking-and-sales-battle-cards-know-exactly-where-you-win-where-you-lose-and-why This edition explores the evolving product management landscape in 2026, specifically highlighting the transition toward AI-native operating models. Industry experts argue that foundational skills like meta-prompting and context management are now more critical than simple access to technology. Successful organisations are shifting from feature-centric roadmaps to outcome-based strategies, where AI agents automate delivery tasks to free up humans for strategic judgment and problem selection. Despite the speed of AI-generated prototypes, leaders caution that "product purism" is failing, and value is moving toward human-led insights and rigorous risk management. Furthermore, the texts examine how recruitment and training must adapt as AI lowers the floor for technical execution while raising the ceiling for product taste. Collectively, these insights suggest that while AI multiplies output, the core of product work remains the art of subtraction and solving the right customer problems. This podcast was created via Google NotebookLM.