Like a lot of people, I’ve spent the past year experimenting with AI. I’ve used it to summarize documents, answer questions, brainstorm ideas, and even help organize my own thoughts. In many ways, it’s an incredible resource, and I suspect soon it will become as commonplace as Google is for many of us.
Naturally, it’s beginning to change the way people buy and sell homes as well.
I’ve seen buyers use AI to better understand mortgage options, explain inspection reports, compare neighborhoods, and estimate renovation costs. All of those are terrific uses. The more informed buyers and sellers are, the better.
Where I think people get into trouble is when AI stops being a tool and starts becoming the decision-maker.
A Lesson from the Inspection Table
Recently, I represented a seller whose buyer took the inspection report, asked AI to estimate the cost of every recommended repair, totaled the amount, and requested a credit from the seller for that full figure.
The math wasn’t necessarily wrong. The negotiation was.
Inspection reports are designed to identify everything an inspector notices—not everything a seller is expected to repair. Some items are routine maintenance. Some are common in older homes. Others may absolutely warrant a credit. Knowing the difference is where experience matters. In this case, the seller was so surprised by the request that the entire deal nearly fell apart.
That’s something AI couldn’t have predicted. Real estate is full of decisions like that.
AI is an extraordinary tool for learning, but some of the most important decisions in real estate still require something it can’t replicate: judgment.
Where Data Meets Human Context
AI can estimate renovation costs. It can’t tell you whether the renovation will actually increase your home’s value.
It can estimate a home’s value from comparable sales. It can’t walk through the front door, notice that an apartment feels unusually bright, or recognize why one beautifully renovated kitchen will inspire multiple offers while another nearly identical one won’t.
It can explain a contract. It can’t tell you when asking for one more concession is worth the risk—or when it might cost you the house altogether.
Those aren’t questions of information. They’re questions of judgment. And judgment comes from experience, context, and understanding people. That’s what buying and selling real estate has always been about.
The good news is that AI doesn’t replace that—it complements it. Use it to ask better questions. Use it to learn. Use it to better understand the process. Just don’t expect it to know everything that can’t be measured.
Because the biggest decisions in real estate rarely come down to information alone. They’re made where information meets experience.
The Takeaways
AI is a remarkable tool for learning—not for making every decision.
Information is valuable, but context and judgment are what lead to better outcomes.
The best real estate decisions happen where data, experience, and human understanding come together.
