攀登生成式AI之山

Most product managers (PMs) working in software today feel it—that dizzying sense of standing at the base of a mountain, staring up at a new way of working and wondering where to even begin. Generative AI has fast arrived in the software engineering workforce, with little guidance and high expectations. PMs are expected to be more productive almost overnight, without a map for how to get there. Microsoft has been at the center of this transformation. Drawing on interviews, surveys, and telemetry from 885 PMs on software teams at Microsoft, we studied how practitioners at every stage of the climb are actually navigating this shift—from those still finding their footing at base camp to those who have reached the summit and fundamentally redesigned how they work. From this data, we developed a set of personas that capture the real texture of the ascent: where people get stuck, what moves them forward, and what traps are easy to fall into. This article is not a feature overview or a list of prompting tips. It is a practitioner’s guide built from real behavior, real struggles, and real wins—with verbatim accounts from PMs doing this work every day. Whether you are still packing your bags or looking to push past the next ridge, this article offers concrete, experience-backed guidance for redesigning your workflows with AI, one step at a time.