Artificial intelligence may be one of commercial real estate’s most talked-about buzzwords, but some brokers are already using it to deliver measurable results. Representatives from Legend Commercial and The Providence Group—both members of the X Team Retail Advisors network—told GlobeSt.com how they’ve woven generative AI tools into their daily routines to work faster, process more information and better serve clients.
Tanner Olson, managing partner of Legend Commercial, and Andrew Tanneberger, a broker with The Providence Group, said systems like ChatGPT and Claude are helping them streamline time-intensive tasks that once slowed transactions.
“We both have used AI and implemented it into our daily work schedules to try to make our lives more efficient and help our clients get information faster,” Tanneberger said.
“It gives us a little bit of an edge up and takes some of the busy work out of the day so we can be more actionable on getting deals completed.”
Tanneberger said one of AI’s biggest strengths lies in quickly processing and organizing data that might otherwise take brokers hours—or even days—to compile.
“There are ways to figure out how to effectively process a large amount of information or gather information that you may not be able to do in a day, but with help of these AI applications, they can allow you to do it in a couple hours [down to] a couple minutes.”
Olson added that generative tools excel at consolidating general information but still require human nuance to interpret it.
“Like anything, there’s a lot of nuance, and there’s a lot of minute details that really matter,” he said.
“It’s the difference of paying rent, for example, if you’re on Fifth Avenue in New York versus if you’re on Fourth Avenue in New York.” He noted that brokers still need to verify details such as zoning, setbacks, rights-of-way and traffic counts to support successful negotiations.
Accuracy remains a central concern when using large language models.
“A lot of it comes down to how you are prompting and or inputting information and telling whatever AI that you’re using how to process to give you the results you want,” Tanneberger said, describing the process as one of trial and error that improves with practice. Both brokers emphasized that AI outputs must always be reviewed and refined through professional judgment.
Sometimes, though, the technology can produce surprisingly useful results. Olson recalled a recent instance when he used an image generator to help market a vacant restaurant space.
“I snap a photo of the side of the building, upload it into an image generator, and just say, ‘Render me a restaurant patio on the side of this building,’” he said.
“Within 30 seconds, I have a decent visual picture of what a potential nice patio could look like… and that allows me to then market that space without having to go build a patio.”
That combination of speed, visualization and idea generation, they said, is giving brokers a new advantage in a competitive marketplace—one where efficiency and imagination increasingly go hand in hand.
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