Key takeaways: Engineering teams adopt AI faster through peer-driven learning than top-down mandates. Shared pilot stories create pull, not pressure. New development paradigms, in which teams write clear intent and acceptance criteria before using AI to generate options, are emerging as a high-value workflow for AI-assisted software development.