"This kind of will go beyond automation, enabling systems to make proactive decisions, optimize workflows, and anticipate challenges, the Texas Real Estate Research Center at Texas A&M University explains. A recent study, meanwhile, finds that agentic AI systems can potentially automate time-consuming tasks such as data gathering from multiple sources, comparable property research across fragmented databases, and preliminary analysis while ensuring that critical professional judgment, final value reconciliation, and legal responsibility remain with licensed appraisers."
"These systems are only as good as the data they rely on. And that's a big problem for industries that wrestle with data silos.For the real estate sector to tap into all this potential, it must tackle ongoing issues with information sharing. The power of agentic AI lies in its ability to approximate human thinking, but at a pace and scale unlike anything humans can achieve."
Familiarity with AI is growing among realtors—55% report familiarity and 28% report using AI tools in their businesses. Agentic AI can perform proactive decision-making, optimize workflows, and handle time-consuming tasks such as multi-source data gathering, comparable property research across fragmented databases, and preliminary analysis while leaving final judgment, value reconciliation, and legal responsibility with licensed appraisers. The effectiveness of agentic AI depends on data quality and integration, creating a major challenge where data silos exist. Wide-ranging, nationwide, and historical property information plus pricing trends and market-shift data are required for these systems to anticipate challenges and make useful recommendations.
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