by Cayman Seagraves, Michael J. Seiler and Stace Sirmans
Artificial intelligence (AI) is no longer a distant promise for the real estate sector — it is rapidly becoming the backbone of innovation, efficiency and strategic decision making. From valuation and investment to sustainability and governance, AI is reshaping how professionals, investors and organisations engage with property markets. This article explores the agentic frontier of AI in real estate, highlighting the latest advances, practical applications and the research agenda that will define the next decade.
The four pillars of real estate AI
Real estate presents unique challenges and opportunities for AI, distinct from other financial domains. Four pillars set it apart:
Spatial dependence: Unlike stocks or bonds, real estate assets are immobile. Their value is deeply tied to geographic coordinates and neighbourhood dynamics. AI models — especially those leveraging geospatial data and graph-based neural networks — excel at captu
