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The Agentic Frontier: Artificial Intelligence in Commercial Real Estate

August 5, 2026 | Cayman Seagraves, Assistant Professor of Finance, University of Tulsa
Stace Sirmans, Associate Professor of Finance, Harbert College of Business, Auburn University
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This article reviews the artificial intelligence (AI) literature in commercial real estate through a mechanism-based framework organized around three steps: Step 1 identifies the economic friction; Step 2 evaluates whether a specific AI method reduces that friction, primarily through improved prediction or information extraction; and Step 3 tests whether friction reduction produces measurable market outcomes such as declining price dispersion, shorter time on market, compressed cap rate spreads, or reduced forecast errors.

It also explores the AI literature in commercial real estate through a framework linking four market frictions (opacity, search costs, illiquidity, and heterogeneity) to AI methods and testable market outcomes. The literature shows strong evidence that AI improves prediction but almost none that better prediction reduces frictions or changes market outcomes.


Adoption data from the Anthropic Economic Index (AEI), merged with occupational task profiles for 16 commercial real estate (CRE) occupations (324 tasks), show that AI usage divides along task type rather than task difficulty: information-processing tasks show high engagement regardless of importance, while tasks requiring physical presence or professional judgment show none. AI engages the highest-importance tasks in each occupation, not the most routine. A friction-by-method classification of 66 articles shows that half the cells are empty. The high-importance tasks at zero AI penetration define the “Agentic Frontier.”


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Cayman Seagraves, Assistant Professor of Finance, University of Tulsa
Cayman Seagraves is an assistant professor of finance in the Collins College of Business at The University of Tulsa, where he combines award-winning scholarship with the practical insight of a former real estate entrepreneur. His research explores the intersection of corporate finance, real estate investment and the emerging use of artificial intelligence agents in capital market analysis, yielding findings that resonate in boardrooms and policy circles.




Stace Sirmans, Associate Professor of Finance, Harbert College of Business, Auburn University
Stace Sirmans is an assistant professor of finance in the Harbert College of Business. His research areas include investments, international finance, and real estate. His work has been published in the Journal of Finance, Review of Asset Pricing Studies, the Journal of Real Estate Finance and Economics, and the Journal of Real Estate Research.

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