The research aims to develop a methodology for ethical strategizing of the intelligent maturity of industrial ecosystems in the context of the transition to the artificial intelligence (AI) economy. Based on a multi-criteria approach, the authors propose a mathematical model for assessing intelligent maturity that accounts for the balance of stakeholder interests through the logic of the quintuple helix (government—business—science—society—environment). The model is tested using official statistical data of the Russian Federation for 2019–2023, applying indicator normalization and integrated analysis. The authors identified the main trends and risks associated with the intelligent transformation of industrial ecosystems, particularly those linked to regulatory and ethical aspects of innovation implementation. The authors present a conceptual domain of strategizing that includes the domains of practice, practitioners, and praxis, and develop a multi-level methodology that enables effective management of intelligent maturity in the AI economy. The theoretical significance of this research lies in the justification of a convergent approach to ethical management of intelligent maturity. The practical relevance stems from the applicability of the proposed methodology to strategic planning and evaluation of industrial intelligent transformation processes.