Tech and AI: An Evolution, Not a Reinvention, of Commercial Real Estate

Commercial real estate’s reputation as a technology laggard is not entirely undeserved. At its core, CRE is a see-touch-and-feel industry, as much art as science. Local knowledge, intuition, and long-standing relationships continue to shape how deals get done, and that reality isn’t likely to change. Boots on the ground matter, as firsthand market insight and trust between brokers, landlords, and tenants, remain central to the business. 

That context is essential when thinking about technology’s role in CRE. Tech can support and enhance decision-making, but it cannot replace the fundamentals. AI, for example, can make processes faster and more efficient, but it will not change the core of how CRE works. It will never be the tool that says, “I know a landlord who’s about to bring this space to market, and I’m getting the first look because of our relationship.”

That said, technology does have an important role to play. During COVID, when activity slowed dramatically, many organizations finally had the time to look inward and ask how technology could support faster, more resilient decision-making once the market returned. As the industry continues to invest in digital tools, three principles stand out.

First, Start With the Right Questions

Technology delivers the most value when it is guided by well-defined questions. One of the most persistent challenges in CRE’s use of technology is data fragmentation and fatigue. The industry generates enormous amounts of data, much of it spread across spreadsheets, emails, platforms, and institutional knowledge. And without knowing what you want to accomplish, that volume can quickly become overwhelming.

As shown in the chart above, for example, even when a national trend appears relatively modest, the underlying regional variation can be significant. Without a clear question guiding the analysis, it’s easy to walk away with a generic conclusion that misses where performance is actually diverging. Framed correctly, the same data becomes a tool for understanding where demand is strengthening, where it’s softening, and how strategy should differ by market.

Second, Treat Tech as a Recipe, Not a Silver Bullet

Once the right questions are defined, the next challenge is selecting the right tools. Here again, clarity matters. There is no universal technology stack for commercial real estate. Organizations operate across different markets, asset types, and strategies, and technology needs to reflect those differences.

Thinking in terms of a recipe provides a more useful framework. The questions define the goal, and technology becomes a set of ingredients chosen to achieve it. Some tools add context, others improve precision, and others help scale insights across teams by surfacing distinct metrics and perspectives. The objective is not to find a single solution or data point that does everything, but to assemble the right combination that supports how the organization actually works.

The graph below highlights the value of layering multiple signals to understand performance. Topline visit trends offer a baseline, but adding context around visitor profile and travel patterns helps clarify what’s actually driving change. When analyzed together, these signals move analysis beyond surface-level conclusions and toward insight that can inform real decisions.

Third, Focus on Speed to Insight and Risk Reduction

The technology best positioned to help CRE is shaped by how people actually use it. Companies that consistently learn from their users, refine inputs, expand data sets thoughtfully, and stay focused on real decision-making are far more likely to deliver lasting value.

The true test of any technology is whether it helps professionals make better decisions faster and with greater confidence while reducing risk. When insights surface quickly and are paired with on-the-ground experience and market context, data reinforces what CRE professionals already see and understand. Used this way, technology becomes a decision-support tool that facilitates de-risking and enables organizations to act at the right speed without losing sight of the fundamentals.

When analyzing mall properties, for instance, sustained weekday and weekend visit growth, paired with a broadening and increasingly family-oriented audience, can signal traffic that is more likely to endure. Identifying these deeper patterns in visit behavior helps validate assumptions, align strategy, and move forward with greater confidence, especially when paired with local market context.

Separating the Must-Haves From the Hype

As technology adoption continues, CRE leaders face an additional challenge: distinguishing between tools that meaningfully support these principles and those that generate attention without lasting value. Some technologies – like foot traffic and demographics – will become table stakes, while others will struggle to move beyond experimentation.

One area to watch is Virtual AI, including remote site visits and digital building tours. These tools may streamline early-stage evaluation and expand access, even as final decisions continue to rely on boots on the ground. Ultimately, their impact will depend on whether they reinforce the fundamentals of CRE – clear questions, practical workflows, and faster paths to confident decisions.