Published Article

ABSTRACT

The global recognition of Artificial Intelligence (AI) as a revolutionary aid in sustainable Facility Management (FM) is progressively on the rise leveraging on predictive maintenance, resource optimization, and data?driven decision making. This study examines the trends, challenges, and opportunities associated with incorporation of AI for sustainable FM in Nigeria with aim of integrating current applications and proposing a contextual framework for the country. This research work adopts a qualitative review methodology, which draws on peer?reviewed journal articles, policy documents, grey literature and AI?driven FM case studies from 2016 - 2026 to evaluate the technological, institutional, and human-centric management of AI assisted FM. Case studies gathered from global benchmarks and AI powered digital twin by Federal University, Dutsin?Ma demonstrated that there is a potential and a contextual constraint in the adoption of AI driven FM in Nigeria. The findings reveal emerging trends in predictive maintenance, energy efficiency, and AI?integrated digital twins while stressing persistent challenges in Nigeria to include infrastructural deficit, poor data base, low AI literacy and financial barriers. The paper concludes that AI can significantly improve sustainable FM in Nigeria if designed to be context sensitive, gain support of institutions and government while in line with Sustainable Development Goals (SDG).