AI in Product Management: New Tools and Risks

Abstract

The development of artificial intelligence ( AI ) is fundamentally impacting modern product management , radically transforming decision-making processes, strategic planning, and product lifecycle management. This article aims to analyze the role of AI in transforming product management based on academic research published in recent years. The paper examines the use of AI for market analysis and demand forecasting, the implementation of data-driven approaches and integration with DevOps practices, the application of generative and agent-based AI systems to automate design and support creative solutions, and the development of an ethical framework for the responsible use of AI.

The scientific novelty of this study lies in its comprehensive examination of the impact of artificial intelligence on modern product management and the development of a new conceptual framework for this discipline. Unlike existing studies, which focus primarily on local aspects of AI implementation, this article proposes a holistic approach that incorporates technological, organizational, and ethical dimensions.

Particular attention is paid to how AI is changing the traditional role of product managers, transforming them from business process coordinators into digital ecosystem architects, responsible not only for the market success of products but also for overseeing the sustainable and secure use of intelligent technologies. The analysis shows that AI not only increases efficiency and reduces time-to-market but also creates new challenges: the need to develop governance models for agent-based AI systems, strengthen ethical responsibility, and integrate human and machine intelligence in a co-evolutionary fashion.

Thus, AI is emerging not only as a tool, but also as a driver of profound transformation in product management, setting new research and practical horizons