********AI PM strategy pitfalls, roadmaps, and pilot failures rise in focus********
Key Questions
Why do 90% of AI pilots fail?
90% fail due to lack of vision, data, and evals. Strategies emphasize killing bad ideas fast and using non-tech roadmaps.
What is the build-buy matrix for AI roadmaps?
Non-tech roadmaps use build-buy matrices for 2026 decisions: website, MVP, or manual service. This avoids AI-first over-hype pitfalls.
How does agentic leadership boost performance?
Agentic leadership offers hybrid 70% boosts, as seen in Frontier Firm and Meta's AI Zuck for 79k staff. It focuses on practical metrics.
What gamification does Tesla use for FSD?
Tesla adds streaks and stats to track Full Self-Driving usage. This drives adoption through gamified metrics.
What lessons from legacy cases like Gap and Levi?
Legacy retailers like Gap, Levi, and Macy show AI PM pitfalls in pilots. Success requires evals and solo rebuild strategies like Tunguz.
90% pilots fail (no vision/data/evals); AI-first wrong (over-hype); non-tech roadmaps (build-buy matrix); agentic leadership (hybrid 70% boost/Frontier Firm/Meta AI Zuck 79k staff); kill bad ideas fast/Tunguz solo; Tesla FSD gamification metrics; legacy cases (Gap/Levi/Macy).