What AI Can Do For You — And What It Can't

I use AI tools every week now. They help me pull data fast, organize numbers, and draft documents that used to take hours. I'm not writing this to talk you out of AI — it's genuinely useful. But after thirty years working one market, I've learned exactly where its usefulness ends, and that line matters more than most people realize.

What AI Is Good At

Give an AI tool a stack of home sale records, and it will pull the numbers, build comparison charts, spot pricing trends, and organize it all fast — patterns that would take a person hours to find by hand. I've used it lately to update sellers, work out their proceeds at different prices, and check my own instincts against the numbers. That's genuinely valuable. But AI can only trust the data it's given, and that's becoming a bigger problem than most people realize.

The Data Problem Nobody Talks About Enough

The rules requiring most home listings to appear on the public system are breaking down. More homes now sell through private deals or "coming soon" listings that never show up in public records. That means any tool building estimates from public data — mine included — is working from a shrinking, non-random slice of the market. Homes that sell privately tend to come from certain sellers and certain companies, which can quietly skew any analysis built only on what's publicly visible.

We're in a strange moment: the tools are getting smarter right as the data feeding them gets thinner. A clean, organized report still isn't the whole story.

Where the Real Judgment Comes From

AI tools always sound confident. A well-organized report reads the same whether every number behind it is solid or two of them are junk — nothing flags "I have no idea if this seller actually wants to sell." If you don't know enough to ask the right questions or push back when something doesn't match reality, you can end up just as wrong as if you'd never checked the data. Confidently wrong is still wrong, and the tool won't tell you which parts to doubt. That has to come from you.

Here's the part our industry doesn't like to admit: agents blindly trusting an AI report happens far more than anyone wants to say out loud. It's an easy trap — the report looks thorough, the numbers are exact to the dollar, and it's faster than doing the work yourself. But an agent who takes it at face value is making the same mistake the AI would make on its own, except now that false confidence is coming out of a real person's mouth, across the table from a client who trusts them. A client can't tell the difference between an agent who checked the report and one who just forwarded it. That's exactly why the checking has to happen before it reaches a client, not after.

I saw proof of this recently, right here in Cheverly. A live listing description began: "I can polish the updated version and make the wording more natural and MLS-friendly," followed by the actual listing copy. That's an AI assistant talking to the agent, offering to clean up a draft — and the agent copied the whole thing into the public listing without reading it closely enough to notice. If nobody catches something that obvious before it goes live, it raises a real question about how carefully that agent checks anything else before it reaches a client.

This is why it matters to ask an agent one specific question before hiring them: how well do you actually know this market? I know Cheverly like the back of my hand, and I know a good deal about the surrounding towns too. But the further a market gets from where I actually spend my time, the less that depth holds up. In Cheverly, I can look at a listing and often sense right away when something's off, and I know enough people to pick up the phone and find out why. That instinct doesn't come from thirty years in the business generally — it's tied to the specific place I've chosen to focus on. Most agents I know don't make those calls, even in towns they claim to work regularly, not because they don't care, but because it takes years in one place to know which calls are worth making. Experience only protects you if it was spent in the market where your home actually sits.

I saw this firsthand recently, working through a detailed market report for one of my Cheverly listings. The AI tool pulled together a clean breakdown of nearby homes for sale, sorted by price and days on market. On paper, it looked like solid proof. But I recognized two of those listings immediately: one seller wasn't actually trying to sell at all, and the other was sitting on a listing shaped more by personal circumstances than by the market itself. Neither had anything to do with real buyer demand, and both would have badly thrown off the report if I'd taken it at face value.

Once I set those two aside, the real pattern became obvious — a cleaner, more useful story than the raw numbers told on their own. If I hadn't known those situations, I'd have handed my client an analysis built on noise, not signal, and the pricing advice that followed would have been wrong. That's not hypothetical. It happened in the last few weeks.

That's not something AI can shortcut. It's not a data problem you fix with a bigger dataset. It's local knowledge, built over years of actually working a market — showing houses, sitting across from sellers, watching how the same streets and the same buyers behave through good times and bad.

The Partnership That Actually Works

The answer isn't choosing between AI and an experienced agent — it's using each for what it does best. Let the tools pull the numbers, build the charts, and organize the report. Let the agent supply the judgment: the read on which numbers are real signal and which are noise, built from years of watching one specific market rise and fall.

If you're buying or selling in a market shifting this fast, you want both — the speed AI brings, and someone who's walked these streets long enough to know which numbers to trust. That second part isn't something you can prompt your way into. It's earned.

Susan Pruden is a REALTOR® with CENTURY 21 New Millennium, specializing in Cheverly, Maryland real estate for over 30 years.