This paper examines the transformative role of artificial intelligence (AI) in corporate real estate (CRE) portfolio management, highlighting how AI is revolutionising traditional processes across valuation, investment analysis, risk management and operational decision making. By integrating technologies such as machine learning, natural language processing, computer vision and predictive analytics, AI enables real estate professionals to transition from intuition-based strategies to data-driven, proactive decision making. The interdisciplinary nature of AI — blending data science, finance, urban planning, engineering and sustainability — enhances CRE performance by combining real estate expertise with advanced analytics and real-time insights. Applications discussed include automated valuation models (AVMs), AI-powered due diligence tools, predictive risk systems and climate risk assessments. The paper also explores future developments involving deep learning, Internet of Things (IoT), blockchain and edge computing, illustrating how these converging technologies will further reshape the CRE landscape. While challenges around data fragmentation, compliance and organisational culture persist, the paper suggests an action plan to guide effective AI adoption, positioning it as a critical driver of long-term innovation and competitive advantage. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.
Davin Wang (Sat,) studied this question.
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