arXiv：cs.AI· Ricardo Britto·· 17 小时前
AI 原生产品管理：一份愿景
AI-Native Product Management: A Vision
AI 导读
论文提出 AI 应成为产品工作的持续参与者，覆盖感知、探索、决策、实现与学习五个环节。作者基于软件产品管理、产品学习、人机协作等研究提出六项原则，并给出由人类专家、AI personas、agents、技能与共享产品上下文构成的运营模型。文章认为 AI 原生产品管理与 AI 原生研发可形成持续的产品学习过程，并列出四个需实证研究的 AI 专属方向。
正文
Abstract:Artificial intelligence is increasingly used to support product management tasks. At the same time, AI-native research and development (R&D) may increase software realization capacity. Organizations may realize software faster than they can identify, qualify, and reconsider what should be realized. This paper asks how product management should be re-envisioned under these conditions. We synthesize research on software product management, product learning, human-AI collaboration, and the Product Management and R&D boundary. We propose a vision in which AI becomes a persistent participant in product work. The vision covers sensing, exploration, decision-making, realization, and learning. We propose six principles and make the vision tangible through an operating model grounded in human professionals, AI personas, agents, skills, and a shared product context. We further argue that AI-native Product Management and AI-native R&D can form a continuous product-learning process. Finally, we identify four AI-specific research directions that require empirical investigation.
| Subjects: | Software Engineering (cs.SE); Artificial Intelligence (cs.AI) |
| ACM classes: | D.2.0 |
| Cite as: | arXiv:2610.14823 [cs.SE] |
| (or arXiv:2610.14823v1 [cs.SE] for this version) | |
| https://doi.org/10.48550/arXiv.2610.14823 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Ricardo Britto [view email]
[v1]
Sat, 10 Oct 2026 11:39:13 UTC (3,472 KB)
来源：arXiv：cs.AI · arxiv.org