Strategic Pathways to AI Maturity

Chapter 7 focuses on identifying and analyzing strategic pathways of AI maturation in enterprises, grounded in the proposed AI maturity model. At the outset, the chapter outlines the five AI maturity levels—Nascent, Developing, Scaling, Integrated, and Optimizing—emphasizing their non-linear and dynamic nature as well as the possibility of asymmetries across the individual maturity dimensions. The chapter then distinguishes three dominant AI maturity pathways: a foundational pathway, a scaling pathway, and a transformational pathway, corresponding to different levels of organizational and technological advancement. section 7.1 characterizes development scenarios for enterprises with low AI maturity, highlighting the key barriers in strategy, data, competencies, governance, and value realization, as well as the conditions required to transition into the scaling stage. section 7.2 addresses enterprises with moderate maturity that operate in a state of “incomplete scale,” requiring infrastructure stabilization, process formalization, and systematic management of the AI lifecycle. section 7.3 presents scenarios for advanced organizations in which AI functions as a durable organizational capability and a mechanism of continuous strategic transformation. section 7.4 formulates managerial implications for data management, human capital, and organizational culture, emphasizing their central role in the institutionalization of AI. The chapter concludes with section 7.5 , which integrates regulatory and ethical requirements into the AI maturity cycle, arguing that regulatory-ethical governance is not a barrier but a prerequisite for safe scaling and the sustained use of AI in enterprises.