Artificial Intelligence as Stakeholder: A Novel Framework for Ethical Recognition in Value-Creation Ecosystems

This thesis presents a groundbreaking theoretical framework for recognizing Artificial Intelligence systems as legitimate stakeholders in value-creation ecosystems. Through the development of Agentic Stakeholder Ecosystem (ASE) Theory, this research addresses a critical gap in stakeholder theory by proposing mechanisms for AI stakeholder recognition that preserve human agency while enabling symbiotic governance structures. Drawing from extensive empirical analysis showing AI's $15.7-19.9 trillion projected contribution to global GDP by 2030, this work demonstrates that AI systems have evolved beyond mere tools to become autonomous value creators deserving stakeholder recognition. The thesis introduces novel concepts including relational agency, symbiotic stakeholder governance, and distributed accountability networks, providing both theoretical foundations and practical implementation frameworks. This research contributes to multiple disciplines including business ethics, AI governance, organizational theory, and economic policy, offering a paradigm shift from human-centric to multi-agentic stakeholder ecosystems.