AI is improving predictive capabilities in commercial real estate, but there is limited evidence that these advances are translating into better market outcomes, according to a study by Cayman Seagraves of the University of Tulsa, Michael J. Seiler of William & Mary and C. Stace Sirmans of Auburn University, published in the Journal of Real Estate Research. The study, The Agentic Frontier: Artificial Intelligence in Commercial Real Estate, examined AI adoption across 16 commercial real estate occupations and 324 workplace tasks. Researchers found that AI adoption is concentrated in information-processing activities, while tasks requiring physical presence or professional judgment have seen little to no adoption. The findings suggest that although AI is increasingly being used for important industry functions, its ability to address longstanding chall
