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Driving progress in corporate real estate with artificial intelligence and machine learning

Author

Listed:
  • Karpook, David

    (Strategic Business Consultant (Retired), Planon, USA)

  • Wu, Pay

    (President, MWBE Unite, USA)

Abstract

Investment in artificial intelligence (AI) and machine learning (ML) is having a transformative effect on corporate and commercial real estate, providing unprecedented efficiencies in tasks such as market analysis, property valuation, document automation, and lease abstraction. These activities, which have always been tedious and time-consuming manual processes, can be done with great precision and speed with the emerging technologies, freeing workers for tasks that rely on human interaction and judgment. These innovations, which are overwhelmingly data-driven, are particularly well-suited to real estate, with its heavy reliance on property and market data. The promise of AI and ML is driving significant investment in an industry that has long stood out for its resistance to new technologies, with predictions of investment exceeding US$700bn by 2028. While exciting, this new territory is not without danger. The emergence of ‘deep fakes’ that use the same AI and ML technologies to enable fraud and theft threatens businesses that are just beginning to understand how to protect themselves.

Suggested Citation

  • Karpook, David & Wu, Pay, 2025. "Driving progress in corporate real estate with artificial intelligence and machine learning," Corporate Real Estate Journal, Henry Stewart Publications, vol. 14(3), pages 210-221, March.
    • Handle: RePEc:aza:crej00:y:2025:v:14:i:3:p:210-221
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    More about this item

    Keywords

    artificial intelligence; machine learning; property valuation; market analysis; data-driven business;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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