One of China's top product manager communities, gathering 210,000 product managers, operations specialists, designers and other internet professionals; over 800 leading product experts nationwide are signed authors; hosts more than 70 product and growth events each year; all the product manager knowledge you want is right here.
The article breaks down the core competencies an AI product manager needs in 2026—product sense, solid technical understanding, deep human insight, and the ability to balance diverse stakeholder interests while driving projects to completion without formal authority.
The article argues that the scarcity of excellent product managers stems from the need for relentless, hands‑on immersion in their domain—illustrated by a product manager who constantly buys, uses, and resells the latest smartphones (and similar behavior in automotive)—to maintain sharp industry sensitivity and genuine evaluation authority.
The article argues that AI has shattered traditional product‑manager collaboration costs, shifting power from scheduling to rapid verification, and outlines three possible futures—small‑team empowerment, model‑centric products, and fluid role boundaries—concluding that the era of PRD‑only delivery is over.
In the AI era, product development is being reshaped by three revolutions—speed, organization, and engineering—where traditional month‑long cycles give way to day‑level delivery, solo ‘super‑individuals’ replace siloed teams, and AI‑driven code generation is constrained by DSLs, prompt engineering, and evolved test‑driven development.
The article explains how generative AI like Google Gemini has shifted SEO from keyword stuffing to logical, scenario‑rich product descriptions, illustrating the change with a panoramic camera example and a baby‑care brand case, and offers a step‑by‑step checklist for crafting AI‑friendly content.
The article explains how product managers, especially in B2B finance, should adopt a user‑thinking mindset that aligns user needs with product goals, using concrete methods for requirement discovery, scenario‑driven design, proactive compliance guidance, and iterative validation to deliver efficient, accurate, and controllable solutions.
In the AI era, product managers face anxiety over AI‑generated code, discover that lacking modular thinking leads to buggy, bloated scripts, and realize they must evolve from superficial UI designers into logical architects who can guide AI with solid engineering fundamentals.
The article outlines when to begin AI‑assisted product prototyping, presenting three “don’t‑draw” rules, three conditions for optimal timing, a four‑dimension tool selection method, a three‑stage workflow, and why product managers’ core skills remain indispensable despite AI advances.
The article analyzes how scaling laws still drive AI progress while product focus shifts toward low‑cost inference, explains how reasoning abilities create a positive feedback loop, and shows why token and power consumption have become the decisive factors for competitive AI services.
Peter Steinberger, the Austrian founder who bootstrapped PSPDFKit into a 70‑person global B2B SaaS, sold the company, battled burnout, and then within an hour built the open‑source, locally‑run AI assistant Clawdbot that sparked a community frenzy, boosted Mac mini sales, and illustrates how solving personal problems can drive impactful product innovation.
