The Revolution of AI in Enhancing Infrastructure and Facilities Management

Seaam  Bin Masud; Samia Ara Chowdhury; Md  Abubakkar; Hasan Mahmud Sozib; Rahima  Binta Bellal; Amena Hoque; Sayer Bin Shafi

doi:10.48047/bb97xk66

Authors

Seaam Bin Masud College of Technology, Wilmington University, New Castle, Delaware, USA Author
Samia Ara Chowdhury Department of Information Technology, St. Francis College, Brooklyn, New York, USA Author
Md Abubakkar Department of Computer Science, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, USA Author
Hasan Mahmud Sozib Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, 141 & 142, Love Road, Tejgaon, Dhaka-1208, Bangladesh Author
Rahima Binta Bellal Labry School of Science, Technology & Business, Cumberland University, 1 Cumberland Dr, Lebanon, TN 37087, USA Author
Amena Hoque Department of Accounting (MAC), Touro University, 3 Times Square, New York 10036, USA Author
Sayer Bin Shafi Dillard College of Business Administration, Midwestern State University, 3410 Taft Blvd, Wichita Falls, Texas- 76308, USA Author

DOI:

https://doi.org/10.48047/bb97xk66

Keywords:

Artificial Intelligence, Smart Infrastructure, Energy Efficiency, Predictive Management, Facility Management via AI.

Abstract

The revolutionary impact of artificial intelligence (AI) in infrastructure and facilities management is thoroughly reviewed in this paper, with a particular emphasis on the years 2020–2025. By providing dynamic, condition-based approaches rather than fixed-interval schedules, artificial intelligence (AI) technologies like predictive analytics, intelligent automation, and real-time operational intelligence are completely changing conventional maintenance and management paradigms. AI enables predictive maintenance that dramatically lowers downtime and maintenance expenses while increasing equipment lifespan by utilizing massive datasets from IoT devices and smart sensors. Additionally, by integrating motion detection, facial recognition, and behavior analytics for proactive threat identification into smart security systems, AI improves occupant comfort and safety. With 74 peer-reviewed studies and industry reports from North America, Europe, Asia-Pacific, and the Middle East, the review shows both regional and worldwide trends in the adoption of AI. Results show a mean 24% decrease in equipment downtime, an 18% reduction in maintenance costs, and significant increases in employee productivity and energy efficiency, confirming AI's operational, economic, and environmental advantages. The study highlights persistent issues in spite of these developments, such as cybersecurity threats, data privacy issues, and integration hurdles with legacy infrastructure. The study emphasizes the value of interdisciplinary cooperation between technologists, facility managers, and legislators in order to overcome financial, technological, and ethical challenges. Future studies should take into account new developments in AI, and non-English literature should be used to increase regional inclusivity. For practitioners and decision-makers dedicated to utilizing AI's full potential for more intelligent, secure, and sustainable infrastructure and facilities management in the digital age, this research offers vital insights.

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