As technology rapidly evolves and global priorities shift toward sustainability, organizations are revisiting their human resource strategies to align with the United Nations’ Sustainable Development Goals (SDGs). This study examines the strategic integration of Artificial Intelligence (AI) into Sustainable Human Resource Management (S-HRM), focusing on its role in building resilient, future-oriented workforces. Drawing on primary data collected from HR professionals across diverse sectors, the research explores how AI tools—including predictive analytics, machine learning, and intelligent automation—can enhance eco-friendly recruitment, performance evaluation, and employee well-being. The study identifies key drivers and obstacles influencing the adoption of AI in sustainable HRM and presents a conceptual model for AI-enabled HR practices that promote environmental, social, and economic sustainability. Emphasizing ethical implementation, collaborative learning, and data-driven decision-making, the model supports long-term organizational adaptability and resilience. The paper contributes to both academic discourse and practical HR leadership by offering actionable insights for integrating AI into HR strategies that uphold sustainability values. Ultimately, this research provides a strategic roadmap for leveraging AI not just as a technological enhancement but as a catalyst for enduring, human-centered organizational development in a rapidly changing business landscape.
Hashmi et al. (2025) studied this question.