From PM to AI PM — Bridging the Skills Gap

You're already a strong product manager. You know how to run user research, prioritize a roadmap, manage stakeholders, and ship products. So what actually changes when you move into AI product management?This episode maps the exact delta between traditional PM and AI PM — the 13 skill areas where your existing expertise needs new layers, and a structured learning path to get there.What we cover:• The Skills Matrix — A side-by-side comparison of what traditional PMs already know vs. what AI PMs need to add, across 13 core skill areas from user research to regulatory compliance• From AI Literacy to Agentic Systems — How the required technical depth has evolved from "understand ML concepts" in 2023 to "prototype with LLMs and design agentic workflows" in 2026• The 7-Phase Learning Path — A structured curriculum from AI literacy through GenAI product mastery and regulatory fluency, designed for 5-8 hours per week alongside your day job• Role Evolution 2023-2026 — How the AI PM role shifted from "AI Translator" (bridging data science and business) to "AI Architect" (prototyping, evaluating, and shipping AI-native products)• EU AI Act Compliance — Why regulatory fluency is now a core PM skill, not a legal team concern — including risk classification, documentation requirements, and the August 2026 deadline• Career Landscape — Compensation benchmarks, job market trends, and what hiring managers actually look for in AI PM candidates• Prompt Engineering as PM Craft — Why prototyping with LLMs is table stakes, and the real skill is knowing what scales beyond the prototype• LLM Evaluation (Evals) — The single most differentiating AI PM skill in 2026: designing evaluation frameworks for non-deterministic systemsWhether you're planning your transition or already in an AI-adjacent role looking to level up, this episode gives you a concrete roadmap for closing the gap.Part of the Crafting Product Excellence series on AI product management.