From Neurons to Organisations: Awakening Regenerative Mindset through Neuroplasticity, AI, and Integrative Consciousness

The Anthropocene presents an era of systemic unpredictability, AI-driven transformation, and environmental vulnerability. Leadership today faces the VUCA² landscape (volatility, uncertainty, complexity, ambiguity, and velocity), requiring an urgent shift toward regenerative intelligence—a leadership paradigm integrating neuroplasticity, AI-augmented decision-making, and integrative consciousness. While AI enhances governance decision-making, traditional leadership models remain hierarchical, transactional, and misaligned with sustainability and systemic transformation. Both WEF 2025 and COP 29 focused on "Collaborate and invest in the Intelligent Age for a Liveable Planet." This proved how important AI-enhanced governance, regenerative capitalism, and adaptive leadership models are for navigating a world that is hard to predict and coming up with long-term economic plans that use new technologies and systemic intelligence. Nevertheless, CEOs, lawmakers, and emerging leaders grapple with conventional approaches to thinking and functioning. This study introduces the Regenerative Systems Framework (RSF), integrating regenerative intelligence, neuroplasticity-based cognitive adaptability, and AI-powered foresight models. The AHA SHIFT Model provides a structured transition from extractive leadership to holistic, regenerative intelligence. Using a mixed-methods approach, this research examines AI-driven governance, cognitive adaptability training, and systemic coaching applied in MBA leadership capstone projects. Findings validate higher adaptability (20-25%), improved strategic foresight (30-40%), and enhanced ESG governance alignment (50%) among leaders trained in neuroplasticity-driven regenerative intelligence. Key insights from organizational case studies, including Microsoft, Patagonia, and Singapore’s Smart Nation Initiative, confirm that AI-assisted foresight and regenerative leadership improve decision efficiency (60%), sustainability impact (40%), and governance resilience. This study provides a scalable roadmap for CEOs, policymakers, and leadership educators to transition from static leadership paradigms to regenerative, AI-augmented intelligence models that drive systemic economic renewal.