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n real estate, AI is increasingly viewed as a catalyst for change. A recent National Association of Realtors survey shows that 55 % of agents know about AI tools, and 28 % already use them in their practices. The trend is moving toward agentic AI—systems that not only automate tasks but also make proactive decisions, streamline workflows, and predict obstacles. Texas A&M’s Texas Real Estate Research Center notes that such agents can handle data collection from multiple sources, compare properties across fragmented databases, and perform preliminary analysis, while licensed appraisers retain final judgment, valuation, and legal accountability.
The promise is clear, but the reality hinges on data quality. Agentic AI can only approximate human reasoning at scale if it has access to comprehensive, up‑to‑date information. Real estate needs data on properties across all sectors, historical pricing trends, value‑driving factors, and market shifts that shape client needs. Yet the industry is moving in the wrong direction. Chris Kelly, CEO of HomeServices of America, warned that major brokerages are quietly keeping a growing share of listings behind proprietary walls, creating exclusive ecosystems that limit consumer access. This strategy may offer short‑term gains but erodes trust when AI agents cannot see the full inventory.
Beyond listings, AI must understand each customer’s journey—preferences, pain points, and challenges. Many firms still maintain fragmented records, a legacy of data silos that undermines AI reliability. Unified Customer Experience Management (UCXM) is essential. When all departments share a single, real‑time data source, back‑office and front‑office functions operate more smoothly, and AI can deliver faster, more accurate responses without compromising privacy or competitive advantage.
The benefits of breaking down silos are twofold. First, AI can focus on routine tasks, freeing agents to tackle complex negotiations, build relationships, and provide personalized service. Second, a transparent data environment restores consumer confidence; if an AI agent can’t recommend a property because it’s hidden, clients will turn elsewhere. Today’s buyers expect instant, tailored solutions from both human and robotic agents. Delivering that requires a seamless flow of information.
The high expectations for agentic AI are justified, but realizing them demands a data‑first mindset. With unified, high‑quality data, AI tools can elevate the industry to new heights, allowing professionals to concentrate on the nuanced aspects of real estate that only humans can master.
—Tomas Gorny, co‑founder and CEO of Nextiva. This column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners. To contact the editor responsible for this piece: [email protected]
