Aligning AI with Ethical and Strategic Management: A Multi-Case Exploration of Drucker’s Human-Centered Principles

The strategic adoption of Artificial Intelligence (AI) within organizational management significantly enhances operational efficiency and innovation but simultaneously introduces complex ethical considerations. This study applies Peter Drucker's established human-centered management principles—ethical responsibility, decentralized decision-making, knowledge empowerment, customer-centric innovation, and continuous organizational learning—to analyze and compare the AI governance strategies of JPMorgan Chase, Amazon, and Waymo. Utilizing a robust qualitative multi-case methodology informed by Yin (2018) and Eisenhardt and Graebner (2007), the research highlights distinctive strategic implementations: Amazon's robust decentralization fostering agile, customer-focused innovation; JPMorgan Chase's stringent ethical oversight and regulatory compliance frameworks; and Waymo's comprehensive safety protocols combined with intensive employee empowerment initiatives. Findings extend Drucker’s theoretical insights to contemporary digital contexts, proposing practical frameworks that support ethically responsible, strategically innovative, and human-centered management of AI technologies in diverse organizational environments.