Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today we're diving into the most important developments shaping the future of AI product management.
To start, Zhipu AI passed the Hong Kong listing hearing on December 16 and rolled out GLM 4.7, setting its sights on a January IPO valued at $300 million.
In related news, Demis Hassabis praised the GeminiApp team for significant advancements in their AI model development, signaling strong momentum for next-generation applications.
Meanwhile on the product front, Jason Zhou unveiled SuperDesignDev, a custom AI designer agent that lets product managers train an assistant in their unique brand style and context. It’s free to try today, allowing teams to automate creative workflows without writing code.
Separately, Shreyas Doshi introduced Claude Chats, a conversational format where he co-authors arguments with a large language model, sharing a live thread of his 2025 sessions.
Additionally, Doshi shared a Claude Chat exploring why few product managers truly apply first-principles thinking in decision making, despite broad claims of its importance.
Another development from Doshi is a deep Claude Chat analysis on why many products fail even when built by motivated, well-resourced teams, offering a structured look at common pitfalls.
In other news, SK hynix now holds 62% of the high-bandwidth memory market, is sold out through 2026, and has raised HBM4 prices by 50% in its latest deal with Nvidia.
On a different front, Jensen Huang warned that DRAM is now a national security risk and questioned why Nvidia hasn’t adjusted pricing to reflect its supply-chain exposure.
Also revealed: Big Tech spent approximately $40 billion on acqui-hires over the past two years, including Google’s $2.4 billion Windsurf deal—about $60 million per head—Microsoft’s $650 million Inflection acquisition, and Amazon’s more than $400 million purchase of Covariant.
Meanwhile, on LinkedIn, Karin Tatucu demonstrated how Claude Pro’s Agent Skills deliver reusable “mini workflows” invoked in natural language, automating tasks from converting meeting notes into action items to drafting PRDs or stakeholder emails without heavy engineering.
On the learning side, Paweł Huryn laid out a structured roadmap for AI PMs: start with core system and web fundamentals like system design, HTTP, and front-end frameworks; move into AI essentials such as prompt engineering, context engineering, and agent design; then experiment with no-code platforms like Lovable, Replit AI Agents, and n8n to accelerate from idea to launch.
In related developments, Peter Yang shared reflections from two veteran engineers on how AI is reshaping the engineering profession, outlining evolving roles, new skill requirements, and collaborative workflows to help PMs prepare their teams and roadmaps for an AI-driven future.
That's a wrap on today's GenAI PM Daily. Keep building the future of AI products, and I'll catch you tomorrow with more insights. Until then, stay curious!