Artificial Intelligence (AI) Use in Construction and Real Estate Finance: Literature-Based Review

  • Shahadat Hossain*
  • , Florian Meier
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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Abstract

Artificial intelligence (AI) is revolutionising many industries, but its application in the construction and real estate finance sectors is particularly innovative. This study explores how artificial intelligence is utilised to enhance risk management, refine investment strategies, and optimise project outcomes within these industries. We examine key artificial intelligence technologies, such as machine learning, predictive analytics, and natural language processing, and assess their potential to transform traditional practices. Case studies and current breakthroughs demonstrate that artificial intelligence can mitigate the risks linked to project delays, cost overruns, and suboptimal decision-making in investment processes. Furthermore, the ramifications of these technologies for future practices are analysed, revealing a propensity for data-driven decision-making procedures that enhance both efficiency and profitability. It is crucial to examine the significant impact that artificial intelligence will exert on strategic management and operational efficiency as it becomes increasingly incorporated into organisational structures. This study aims to provide a comprehensive evaluation of the applications of artificial intelligence in the construction and real estate financing sectors, highlighting the importance of innovation in these critical industries.
Original languageEnglish
Pages (from-to)41-49
Number of pages9
JournalGAS Journal of Economics and Business Management
Volume2
Issue number6
DOIs
Publication statusPublished - 17 Sept 2025

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