This chapter synthesizes the theoretical insights, empirical evidence, and case study findings from previous chapters into a comprehensive framework for preserving cognitive capital across multiple waves of technological disruption. While artificial intelligence provides our immediate focus, the principles developed here apply to quantum computing, biotechnology, and future cognitive disruptions we cannot yet anticipate. Drawing on the AI-Competency Paradox, mathematical models of expertise decay, and evolutionary perspectives on human cognitive development, we present the Cognitive Capital Preservation Framework—a strategic approach that enables organizations to sense, respond to, and learn from technological disruptions while maintaining the human cognitive capabilities essential for adaptation, innovation, and survival (Porter. Harvard Business Review, 74(6), 61–78, 1996; Teece. Strategic Management Journal, 28(13), 1319–1350, 2007). This framework recognizes that cognitive sustainability operates at multiple levels: individual capability preservation, organizational competency management, and societal cognitive ecosystem health. The ultimate argument is not merely about competitive advantage, but about evolutionary stewardship—preserving human cognitive diversity as insurance against future challenges that may require precisely the thinking capabilities we risk outsourcing to artificial systems.