AI Finally Unlocks Commercial Real Estate's Data Potential After Decades of Technological Resistance

Commercial real estate has survived every major technology wave of the past three decades largely unchanged, with brokers still juggling five or six disconnected systems before making a single phone call in 2026. Dan Mosher, Co-Founder and CEO of DealGround, explains that the industry's relationship-based nature, where deals were crafted through personal interactions and data served as a strategic currency, created a culture of data hoarding that shaped slow technological adoption.

When digitization arrived, brokers embraced it slowly, adopting point solutions like CRMs, comp databases, and property management systems one by one until they found themselves running eight or ten separate tools that didn't communicate. Mosher describes advanced brokers' workflows as remarkably detailed yet cumbersome, requiring them to start in one system, pull data into another, sometimes run it through ChatGPT, drop results into Google My Maps with color-coded pins, switch to another system for contact information, and then open their CRM to check previous interactions—all just to make one informed phone call.

The problem was never that the industry lacked technology but that each tool did one thing well, leaving brokers to serve as the connective tissue between them. This dynamic is now changing because of AI's ability to handle the unstructured data that defines commercial real estate, including offering memorandums, Excel spreadsheets, lease documents, surveys, due diligence materials, property notes, and contact information. For the first time, the characteristics that made CRE difficult to digitize are the same characteristics that make it ideal for AI-powered transformation.

DealGround was designed around this insight, creating a single platform where brokers, investors, and analysts can centralize their private data, access public property and title records, and query everything through a single AI-powered interface. As Mosher explains, "We want to be the database of records. Everything that's happening with a property—new tenants, lease expirations, rent increases, loan maturity dates—it's all tracked in one place." The platform transforms fragmented property, tenant, ownership, and market data into structured, actionable deal intelligence available at https://www.dealground.com.

The third wave of CRE transformation is not simply about adding AI features to existing workflows but about collapsing the entire stack into one system that knows everything a broker knows, surfaces the right insights at the right time, and frees professionals to focus on building relationships and closing deals. The goal is for brokers to spend more time on relationships and less on administrative legwork, with the system flagging when a lease is expiring in six months or a loan is maturing in 2027 so brokers can call owners with relevant, well-informed propositions.

After decades of watching the industry lag behind, Mosher believes the conditions for real transformation are finally in place, with existing data, ready AI tools, and brokers asking whether there's a better way. The transformation isn't about replacing brokers but giving them an unfair advantage by letting the system handle research while they focus on human relationships that drive deals forward.