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.
First up, Demis Hassabis announced the global rollout of Veo 3, a state-of-the-art video generation model now shipping worldwide for every GeminiApp Pro subscriber. Another major launch comes from HeyGen: their new Video Agent automates the entire video production pipeline—from story and script creation to shot selection and final editing—using just a document, raw footage, or even a simple prompt.
In related news, Llama Index now supports server-side tool calling with automatic citations via Anthropic’s APIs, making it possible to build AI applications that automatically cite their sources for full traceability. Additionally, LangChain has added natural source attribution for Claude Sonnet 4 in retrieval-augmented generation workflows, automatically tagging search results with titles and links to original content. Another key development comes from Philipp Schmid, who published a step-by-step guide on integrating long-term memory with Gemini 2.5 using Mem0AI. This gives agents the ability to recall past conversations and user preferences over time.
Shifting to product management strategies, Lenny Rachitsky unpacked a high-margin niching framework based on the “fish where the fish are” strategy, helping teams spot overlooked but profitable market segments. Separately, Claire Vo argued for normalizing fractional individual contributor roles, suggesting that diversified project exposure combined with AI-driven productivity could spark a gig-economy shift within product teams. On a different front, Dharmesh made the case that while AI products demand stellar UX, organizations also need a robust AUX system—an agent user experience platform that serves as a dependable system of record in the AI era.
In industry news, Clement Delangue highlighted that every dollar invested in open-source AI can yield up to two thousand dollars in value, underlining the huge leverage of collaborative ecosystems. In other news, Google DeepMind is exploring AI-driven ecosystem simulations designed to accurately predict and mitigate human impacts on nature. Lastly, DeepLearningAI reported that CEOs at Amazon, Bank of America, IBM, Shopify, and Williams-Sonoma expect to downsize corporate staff as generative AI tools boost operational efficiency.
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!