From Automation to Augmentation: Governing Artificial and Human Intelligence for Sustainable Employment and Leadership, Ali Taqi
Ali Taqi
DBA Candidate
Corporate Strategist and Doctoral Researcher
Strategy Development
Oil and Gas
Bahrain
DOI: 10.47556/B.OUTLOOK2026.24.1
Received: 2026 / Revised: 2026 / Accepted: 2026 / Published: 2026
Purpose: This paper examines how governance mechanisms can moderate the relationship between Artificial Intelligence and human intelligence within employment and leadership systems, with particular emphasis on sustainability-driven workforce transformation.
Methodology: The paper adopts a qualitative conceptual research approach, integrating comparative analysis of interdisciplinary literature with applied insights from large, asset-intensive industries. A governance-led analytical framework is used to examine how AI adoption influences workforce structures, leadership decision-making, and human capital development.
Findings: The findings indicate that ungoverned AI diffusion of AI amplifies skills displacement, organizational fragmentation, and trust deficits. In contrast, governance-anchored integration of AI supports leadership capability, workforce resilience, and closer alignment with sustainable development objectives.
Originality/value: The paper advances an AI-human intelligence governance framework that positions human resource management as a central mechanism for aligning AI adoption with the United Nations Sustainable Development Goals. It offers transferable insights for policy makers, organizational leaders and HR practitioners across sustainability-critical sectors.
Keywords: Artificial intelligence governance; human intelligence; strategic human resource management; leadership systems; workforce transition; sustainable development goals; organizational resilience; energy sector; emerging economies.
Citation: Taqi, A. (2026): From Automation to Augmentation: Governing Artificial and Human Intelligence for Sustainable Employment and Leadership. In Ahmed, A. (Ed.): World Sustainable Development Outlook 2026, Vol. 22, pp. xx-xx. WASD: London, United Kingdom.