A recent story in Florida about homeowner Robert Levine’s use of ChatGPT to sell his home without a real estate agent has garnered a lot of attention.
Rob Hahn cut through the noise and focused on what actually happened in his article “Florida Man, ChatGPT, MLS.” Mr. Levine didn’t bypass the system or use AI to magically sell his house in a completely new way.
He used AI to navigate existing processes and used a flat-fee MLS service to register his properties on the MLS and expose them to a wider market.
This part is more important than most commentary on this story. If you strip away the AI aspect and look at the factors that actually drove the results, it wasn’t ChatGPT that created the demand for this property. It was the exposure that a listing received once it was entered into the MLS and distributed through the channels that existed for that purpose.
Five offers in 72 hours were not from AI. They came from a marketplace, and that marketplace is still operated through the MLS.
What Really Happened at the Florida Sale
“We really wanted to try using AI for the whole journey, not just parts, every step of the way,” Levine said, according to a news report from NBC 6 South Florida, which noted that the report used AI for “planning, pricing, marketing, and even painting.” This helps explain why this story has received so much attention.
Agents are already using technology to help them price, market, and prepare properties for sale, and consumers have had access to tools like this for years. However, a key step in this process was listing on the MLS through a flat-fee brokerage service, which is not new.
What’s new is that AI can now help sellers navigate the process more easily by explaining forms, suggesting pricing strategies, and guiding them through steps that previously required more effort and experience. But even with all this, sellers still needed access to the MLS.
Parts of the story that deserve more attention
It would be easy to look at this and say that AI has made it easier for consumers to handle some of the transactions themselves, and that is true. However, if you focus only on that, you will miss something more important.
Even if AI did much of the work, sellers still needed an MLS to access the marketplace. The MLS remains the central distribution system for residential real estate and the primary source of exposure.
This story illustrates another thing that should not be ignored. In a report for NBC 6, Levine estimates that using AI tools can save about 3% of the selling price, which makes sense. But he also said in the same report that AI will not replace real estate agents.
More importantly, the role of the MLS becomes even more important when sellers can use a combination of AI, MLS access services, and legal reviews to close transactions.
Why agents and brokers need to pay close attention
Here we need to have a conversation beyond whether we need agents or whether AI can replace some of their functionality. The more important question is what will happen if MLS is weakened, bypassed, or reduced to something inferior to the current central market.
Today, MLSs provide a collaborative marketplace where listing information is widely shared and agents from various brokerages can participate in connecting buyers and sellers.
This allows your listings to reach a community of experts and, through that community, the buyers they represent. The balance of control could shift if listed distribution begins to shift from that structure to proprietary networks and platforms controlled by a small number of companies. The Florida example doesn’t yet show that happening, but it does show how the parts come together.
What a buyer’s agent saw up close
One of our brokers, John Donati, spoke with the buyer’s agent’s broker, Ines Hegedus-Garcia of Avanti Way Realty. Her perspective adds an important layer to this story.
Innes said the property appeared to be undervalued compared to market value, perhaps by $50 to $100 per square foot, which helped spur early activity and multiple offers. He also pointed out that the seller had not fully utilized its leverage.
Innes shared that the buyer negotiated an additional $5,000 credit during the inspection for relatively minor issues, creating a win-win rentback.
What’s more, even though sellers used AI and hired lawyers, they still relied on buyer representatives for guidance on contracts, schedules, disclosures, and next steps.
By the final walk-through, the seller expressed some regret and said he would likely use an agent next time. Her conclusion was simple and clear. While AI supported process execution, it did not replace pricing strategy, negotiation, and risk management.
conclusion
The story of the Florida AI home sale is not proof that agents are obsolete or that the MLS is no longer needed. If anything, it shows the opposite. Even if AI did more of the work, sellers still needed the MLS to get the exposure that produced results.
Because if agents and brokers were to lose meaningful control over their systems, or were allowed to become anything other than the current cooperative market, the impact on the industry could be much greater than what AI would do on its own, and that’s something worth considering now rather than later.
Dennis Norman is the Broker-Owner of MORE, REALTORS and Chairman of the Board of MARIS in St. Louis, Missouri. Connect with him on Facebook or Twitter.
