At least three times this year, I have sat down with a homeowner who was not asking me what their home was worth. They had already decided. They had done the research, read the articles, pulled the online estimates, and this is the new part: they had asked an AI model. By the time we met, the number was set. They weren't looking for a valuation. They were looking for me to explain why the technology was wrong. I want to be careful about how I describe those meetings, because I don't think those sellers did anything foolish. They were doing what smart, informed people do: gathering information before a major decision. I use AI almost every day myself. It helps me research faster, challenge my own assumptions, and sometimes catch patterns I would have missed. But something happens in that moment that I don't think anyone is talking about yet. AI isn't changing how people price homes. It's changing when they get attached to a price. A seller asks an AI model what their home is worth. It gives a thoughtful, well-organized, confident-sounding answer. And the seller doesn't just receive that number. They start to own it. From that point forward, everything gets filtered through it. Every showing. Every piece of agent feedback. Every conversation about the market. Every recommendation I make. It all becomes evidence in a case for or against a number that was decided before the home ever went live. The AI didn't create that attachment. Homeowners have always been attached to their numbers. I've watched it for twenty years. What AI did was accelerate it. It moved the moment of attachment from "after I've talked to a professional" to "before I've talked to anyone at all," and it dressed the number in enough data to make it feel like a conclusion instead of a hope. That is not a technology problem. That's a psychology problem. And it's the reason I think most of the current conversation about AI and real estate is aimed at the wrong question. Why the number matters so much in the first place I want to be fair to sellers here, because I don't think this attachment is a character flaw. I think it's the most understandable thing in the world. A home is not a stock position. It's where someone raised their kids. Where they cared for an aging parent in the back bedroom. Where twenty-two Thanksgivings happened. And for a lot of the people I work with, homeowners in their fifties, sixties, seventies, thinking seriously about what comes next, that number isn't a number at all. It's the plan. It's whether they can be close to the grandchildren. It's whether the next place has a step-free entry. It's whether there's enough left over to take care of someone they love. So when a homeowner is asked to put a price on that house, they are not really being asked to price a property. They are asked to assign a value to a chapter of their life, then hear strangers negotiate against it. That's why pricing conversations are never just about math. And it's why the source of that first number, the one that lodges in someone's mind before anyone else has weighed in, matters far more than we've been willing to admit. First, the part most agents won't say out loud Earlier this year, Fortune reported on a Florida homeowner who used ChatGPT to help price, prepare, market, and negotiate the sale of his home. He listed roughly $100,000 above the agents' recommendation. He sold in five days. That story should make every real estate professional a little uncomfortable, and not because "AI won." Read the detail that actually matters: he said the agents lacked confidence defending their own number. That's not an AI story. That's an agent story. If a licensed professional cannot clearly explain the reasoning behind their pricing advice, the comps they used, the ones they threw out, what they're seeing in buyer behavior right now, and what they'd do if the first two weekends came back quiet, then a chatbot with a confident tone is going to be more persuasive. It should be. So I'll concede it plainly: sometimes AI gets there, and sometimes it gets there faster than we do. What I won't concede is that one story is a method. That homeowner had unusual conviction, hired an attorney, hosted his own showings, and prompted the tool at every single step. He showed the house to fifteen buyers. One success, even a great one, doesn't establish that AI pricing reliably outperforms an experienced advisor. It's a compelling anecdote, not a general rule, and anyone selling you either conclusion is selling you something. What AI actually does with your question Here's the mechanism I wish more sellers understood. In June, broker Ryan Serhant described a $50 million penthouse deal that nearly collapsed. The buyer asked ChatGPT whether he was overpaying. It said yes. The seller asked the same tool whether he should hold out for more. It said yes to that, too. Same tool. Same property. Same week. Two opposite answers, each one confidently supported. These models are built to be helpful, and helpfulness feels an awful lot like agreement. They are extraordinarily good at constructing a case from the information you hand them. Which means: AI doesn't just answer your question. It amplifies the assumption buried inside it. Ask "Is my home worth $900,000?" and you will get a far more articulate version of the answer you were already hoping for. Ask "what would make my home worth $900,000, and what would make that number unrealistic?" and you will get something genuinely useful. Same tool. Entirely different conversation. This is not an argument against using AI. It's an argument for asking AI better questions, which, honestly, is the same skill I'd want from any client sitting across from any advisor. The market charges you for the attachment None of this would matter much if being wrong were cheap. It isn't anymore. Realtor.com's June 2026 data found that homes going under contract around the four-week mark closed meaningfully above the monthly average relative to asking price, while homes still sitting at eighteen weeks closed below it. Their senior economist put it about as bluntly as an economist can: the pandemic gave sellers a free pass on pricing, and that pass has expired. An overpriced home today doesn't just sit. It goes stale, it loses leverage, and it very often sells for less than it would have if it had been priced correctly on day one. So the cost of defending the wrong number isn't abstract. It's weeks. And then it's dollars. And in my experience, it's also something harder to measure, the slow erosion of a seller's confidence, right at the moment they need it most, because the market kept saying something the screen never warned them about. The whole story changes when someone walks through the front door Picture two homes. Same neighborhood, same square footage, same bedroom count, built the same year. On paper, which is to say, in the data, they are nearly identical. One gets three offers the first weekend. The other sits for sixty days. One has morning light pouring across the kitchen. One smells faintly of cigarette smoke. One backs to a greenbelt. One backs to a road you can hear from the primary bedroom. One simply feels peaceful when you step inside, and one doesn't, and no one can quite tell you why. And here's the part that never makes it into the model: the buyer doesn't experience any of that as data . They experience it as a feeling. They don't walk out saying the northeast exposure improves perceived square footage. They walk out saying they could see themselves there. That's the whole ballgame, and it happens in about eight seconds. There is no spreadsheet that fully captures that, and there is no model that can reliably predict how a particular buyer will react in the eight seconds after they walk through a front door. That reaction is where offers come from. Not from data. From people. And pricing is only the first decision Here's what I think gets lost in the whole "can AI price a home" debate: Pricing is one decision. It's the loudest one, so it gets the attention, but it is genuinely just the first in a long line. When do you list, and does waiting six weeks help you or cost you? What do you fix, and what do you deliberately leave alone? Do you take the cleaner offer or the higher one? Do you buy first or sell first? Do you counter or hold? Do you accept the repair request, or would you offer a credit? And underneath all of it, the question almost nobody asks out loud: should you move at all right now? Those are the decisions that determine how a sale actually turns out, and they are the ones I've built my business around. Not listing homes. Helping people navigate one of the largest financial and emotional decisions of their lives, usually at a moment when something else in their life is already changing. What I answer before I ever recommend a price Before I give a client a number, I have to answer questions no model can answer for me: What actually happens to people when they walk through this front door? What are buyers saying about this home after they leave, not on the feedback form, in the driveway? Is there something in this floor plan that makes people hesitate before they say why? What do buyers say about this street that never shows up online? Who is moving into this neighborhood right now: downsizers, first-time buyers, growing families? At this price, are buyers falling in love with homes, or negotiating every single dollar? Those answers don't come from an algorithm. They come from being in this market in person this week and from listening closely to what people say when they think the conversation is over. So, can ChatGPT price your home? It can give you a starting point. A well-organized, well-reasoned, genuinely useful starting point. I'd rather you walk in with one than without one. Just don't mistake it for the finish line. AI has changed how we gather information, and I think that's a good thing. Better information leads to better questions, and better questions lead to better conversations. But the biggest decisions in our lives have never been made with information alone. They're made by people, usually at a kitchen table, while something else is going on in the background that no model knows about. So I don't compete with AI. I use it. My clients use it. And then, together, we test it against what it can't fully see: today's market, human behavior, and the person who will eventually walk through your front door and decide, in about eight seconds, whether this feels like home. AI can give you a number. It cannot give you a buyer. So here's my invitation. Have you already asked AI what your home is worth? Bring me the answer. I won't tell you it's wrong. I'll help you find out whether the market agrees. Suzette Loggins is a REALTOR® Associate with Guide Real Estate and the founder of THE REAL 916, serving Sacramento and the surrounding region. Most agents list homes. She navigates lives.
