Generative Change Management: Foundational Concepts for Human-AI Hybrid Productivity in Organizations

The incorporation of generative artificial intelligence (AI) is transforming everyday work well beyond task automation. People increasingly work with systems capable of participating in analysis, creation, decision-making, and knowledge production. This transformation changes the professional relationship with AI, the organization of work, and the cultural frameworks through which organizations build relationships, distribute authority, recognize contributions, and produce meaning. Generative Change Management (GChM) is proposed as a conceptual framework that grounds a methodological approach to three interdependent transformations resulting from the integration of human and AI capabilities: the redefinition of professional contribution, the design of new work architectures, and organizational coexistence with algorithmic intelligence. At the personal level, GChM addresses the relationship people establish with AI in developing their professional capabilities. At the operational level, it addresses hybrid production architectures that combine human capabilities with digital production units operating at different degrees of autonomy. At the cultural level, it addresses the development of hybrid organizational intelligence through new forms of symbolic-algorithmic linkage.