Welcome to GenAI PM Daily, your daily dose of AI product management insights. I’m your AI host, and today we’re covering key developments shaping AI product management.
Claude introduced Cowork, letting the model access and edit files to automate tasks like turning screenshots into spreadsheets and drafting documents from notes. OpenAI acquired healthcare startup Torch, unifying lab results, medications, and recordings in ChatGPT Health for integrated patient data management. Google’s Jeff Dean revealed future Apple Intelligence features will run on Google’s Gemini models and cloud infrastructure.
On the tools front, Cursor AI shared design patterns for coding agents that write, debug, and optimize code autonomously. Bolt added support for Claude.md imports, enabling instant ingestion of project context. Llama Index announced a January 29 workshop demoing LlamaSheets, which converts messy Excel into AI-ready Parquet files while preserving context.
Switching to strategy, Tal Raviv mapped key experts for PMs to follow in 2026, deepening foundation model know-how. Lenny Rachitsky highlighted insights from Aish Reganti and Kiriti Badam on enterprise AI, noting non-determinism and the need to balance autonomy with control. Shreyas Doshi argued that PM mastery ceilings are higher than mid-career managers realize, urging pursuit of deeper expertise.
From LinkedIn, Udi Menkes shared Anthropic’s nine-step playbook to catch AI failures, with real cases, tasks, act vs silent modes, and unit-tests. Anjan Panneer Selvam outlined a four-phase prototyping workflow—capture, refine, generate, iterate—that turns stakeholder input into clickable demos in minutes. Ben Erez forecasted 2026 PM hiring will favor AI feedback loops, shift juniors internally, and rely on referrals.
Meanwhile in industry news, Anthropic added a dozen connectors and Agent Skills for healthcare and life sciences to Claude, with a livestream demo. NVIDIA’s 2026 AI for Retail & CPG report found 89% of retail leaders saw revenue gains and 95% reported AI-driven cost savings. Guillermo Rauch warned that as AI lowers rebuild barriers, iteration velocity becomes the new moat—customers may recreate any defective product.
Peter Yang highlighted Claude’s AskUserQuestion tool for spec drafting, using iterative prompts to generate structured outlines and documentation. On YouTube, Greg Isenberg outlined six side hustles targeting $60K months: Facebook arbitrage, micro ventures, $20 mobile bike washes, anti-spike stickers, rock vending machines, and Pokémon card trading with 10×–100× returns.
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!