This study investigates the interrelated impacts of environmental pressure and artificial intelligence (AI) integration on workforce sustainability and organizational adaptability.
A cross-sectional survey of 272 HR professionals and leaders in Kuwait was conducted, and structural equation modeling (SEM) in JAMOVI was used to test direct and mediating effects among the constructs.
AI integration (β = .492, p < .001) and environmental pressure (β = .265, p < .001) significantly influenced organizational adaptability. Workforce sustainability strongly mediated these relationships.
This study contributes novel insights on dual disruption adaptation in HR systems within Gulf contexts, offering an empirically validated resilience framework. Research Limitations and Implications: The study's limitations include its geographic specificity and cross-sectional design. Future research may adopt longitudinal or comparative models across industries.
The findings inform HR practices involving digital upskilling, AI trust-building, and environmentally responsible recruitment to bolster workforce resilience.
Alainati, S., Albadir, A., Alterkait, M., Al-Hunaiyyan, A. and Alkandari, A. (2025): Resilient HR Systems in the Face of Climate and AI Disruption: Examining Workforce Sustainability in a Changing Environment. In Ahmed, A. (Ed.): United Nations: What Next After 2030 Agenda and SDGs. World Sustainable Development Outlook 2025, Vol. 21, pp. 113-130. WASD: London, United Kingdom.
