The Broker Who Thrives in an AI Market Does Not Look Like What You Would Expect

Written by:

Heather Hook

Date:

19 May 2026

KeyCrew Studio

Share

Share via Facebook

Share via Linkedin

Share via X

Copy to clipboard

There is a version of the AI-enabled commercial real estate broker that gets described in tech coverage as something close to science fiction: a lone operator commanding a fleet of intelligent agents, closing deals at 10x the speed of everyone else, essentially untouchable.

The reality is more grounded than that. And considerably more achievable. Dan Mosher is the CEO of DealGround, an AI-native CRE intelligence command center whose customers include the early-adopter brokers already working this way. A new joint study with First American Data & Analytics surveyed 255 CRE professionals and confirmed what Mosher has been seeing directly: most brokers are using AI, but very few have restructured around it. The ones who have are pulling ahead.

The Difference Is in Who Handles the Legwork

The commercial real estate business is fundamentally about getting to the right person at the right time. Everything before that, pulling ownership data, tracking lease expirations, sourcing comparable properties, identifying which owners might be motivated to sell, is preparation for that conversation.

For most brokers, that preparation still consumes the majority of their working hours. They are moving between multiple systems, manually porting data from one system to the next, and assembling information that takes far longer to produce than it should.

The AI-enabled broker has largely removed themselves from that loop.

“They’re going to come into an interface and say: I’ve got a buyer looking for retail properties between 10,000 and 15,000 square feet, 80% occupancy, below market rents – a value-add play,” Mosher explained. “Find me those properties, find the owners, draft an email that can go to each of those owners, and give me a set of reasons I can use to convince those owners they should sell.”

That single prompt sets off a chain of work that previously took days. The broker reviews what comes back, takes action, and moves to the next opportunity.

They Have Stopped Treating AI as a One-Off Tool

One pattern Mosher sees repeatedly among brokers who are not getting traction with AI: they use it as a shortcut for individual tasks rather than as infrastructure for a repeatable process.

They paste an OM into a general LLM and ask for a summary. They ask it to clean up an email. They run a one-off lease analysis. These are useful, but they are not compounding. Each time, the broker starts from scratch, provides the same context again, and gets a one-time answer that connects to nothing else they are working on.

The CRE Industry Pulse Check study bears this out. Despite 66% of CRE professionals using AI regularly, 31% report zero measurable time savings from their primary tool. These are people using AI without having changed their process. The tool is transactional. The workflow underneath it is the same as it was before.

The brokers pulling ahead have done something different. They have built continuous data pipelines, feeding their OMs, rent rolls, lease data, and ownership research into a system that captures the data and generates ongoing alerts against their own criteria. One example Mosher describes: a broker who sets a trigger for all debt arrangements maturing in 2027, then gets a list of owners who took on debt at 3% and will now need to refinance at 6%. Those could be motivated sellers. That is a call list no public AI tool could produce, because it requires private data and persistent context.

They Think About Timing, Not Just Information

The study found that 36% of brokers say the AI capability they most want is more reliable comps in thin or opaque markets. That is a data quality problem. But it points to something deeper about how the best brokers think about AI.

The question is not just what information AI can surface. It is when. A rent increase that is six months away is far more valuable to a broker than one that already happened. A loan coming due next year matters more than one that matured last quarter. The AI-enabled broker has set up their system to catch those timing signals, not just to answer questions when they happen to think of them.

“The real adoption is when you’re adopting soup to nuts in a whole process,” Mosher said. “Not just submitting things into an LLM and getting an answer back.”

The One Thing That Does Not Change

For all the efficiency gains, Mosher is direct about what AI does not replace.

“The broker’s job is to cater to his clients, who are building owners and prospective building owners, and there will always be that human connection,” he said. “AI is an enhancer. AI is an enabler.”

The calls that matter most still require someone who has seen the movie before. An environmental disclosure buried in a footnote. A cap rate that looks wrong and probably is or is signaling hidden risk. A franchisee situation that could affect a buyer’s assumptions. AI can surface all of that faster. It cannot tell you what to do with it.

The broker who thrives in this market is the one who uses AI to get to those judgment moments more often, better informed, and earlier than anyone else. Not the one who is waiting for things to calm down before deciding whether to try.

Download the full CRE Industry Pulse Check report here: http://report.dealground.com/cre-pulse-check-report-may-2026.

DealGround is the AI-native intelligence command center built for how brokers actually work – turning property, tenant, ownership, and market data into faster, more informed deal decisions. Learn more at dealground.com.

This article is based on information provided by the expert source cited above. It is intended for general informational purposes only and does not constitute legal, financial, or real estate advice. Readers should conduct their own research and consult qualified professionals before making any real estate or financial decisions.

Disclosure: Individuals or companies mentioned may have a commercial relationship with KeyCrew.