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Can AI replace your RE agent?

  • sarahgwiz21
  • 1 day ago
  • 9 min read

AI has quickly become useful for homeowners, buyers, sellers, and real estate professionals. As I recently shared, AI can be especially helpful when it comes to seeing the potential in a home. Upload a photo of a room or a yard, and you can explore different design styles, landscaping ideas, renovations, and ways to transform a space. It can help you look beyond what is there today and imagine what could be there tomorrow.


That is one of the many ways I believe AI can add value to the real estate process. But there is an important distinction that is worth keeping in mind: AI can help you explore possibilities, but it should not be the one helping to make your real estate decisions.


Buying or selling a home is about much more than comparing properties, analyzing numbers, or identifying which home appears to be the best value. It is a personal, financial, and strategic decision, and the right answer can be very different from one person to the next. That is where experience, local knowledge, and an understanding of the person behind the transaction become so important.


A Technically Correct Answer Can Still Lead You in the Wrong Direction



I was recently reminded of this by a friend through an example involving a legal document. She had worked with an experienced professional to create an important legal document and then used AI to review it. The AI suggested a number of changes, including adding some language and removing other portions of the document to make it stronger. All of the AI suggestions made sense and it seemed like the original document had just been careless and randomly thrown together. She sent all of these suggestions to the professional to ask to have it put into the document.


AI’s recommendations were legally correct and on the surface, it seemed as though AI had identified ways to make the document stronger and more efficient.


But there was something AI didn't understand: why the document had been written that way in the first place.


When the professional explained the strategy behind the original document and why they felt that adding these suggestions was detrimental, everything became much clearer. The wording and template had been carefully chosen based on the personalities and anything further needed would be known and dealt with afterwards. The formatting wasn't arbitrary. Certain things had been intentionally included and some were intentionally omitted because of how the people involved were likely to interpret or respond to them in the moment. What might have looked sloppy to AI actually served a purpose within the larger strategy.


The professional wasn't simply putting together a document that was legally correct. They were thinking several steps ahead based on years of experience and an understanding of the particular people and full process involved.


This applies to real estate in much the same way.


AI can often tell you whether something is possible and it can compare information. But it doesn't necessarily understand the strategy behind a decision or the human factors that may ultimately determine whether that decision is right for you.


Making an Offer Is More Than Comparing Prices



One of the most important moments in the home-buying process is also one where I would be particularly cautious about relying on or even asking AI: making an offer.

Imagine that you've found a home you really like. You have the listing information, perhaps some recent sales data, and you can give AI details about the property and ask what you should offer. It may be able to analyze comparable sales and give you a suggested range.


But AI isn't standing beside you inside the home.


It doesn't see the condition of the properties firsthand or know the layouts or know if the homes it is using are truly comparable. It doesn't notice that the floors in one room are significantly more worn than they appeared in the listing photographs. It doesn't recognize that the electrical and the roof were recently updated, whereas the home down the street had an upgraded kitchen but the roof and electrical needed replacement. An experienced professional that knows the area can immediately pick up these things on these things during a showing and ask the seller’s agent about anything that is not apparent. AI doesn't necessarily have the precise local context that can make a significant difference in determining a realistic offer.


An experienced agent may know what the house down the street sold for or why a house two blocks over is not a comparable property. They may understand whether the seller is likely to have multiple offers, whether the property is priced aggressively or conservatively, and how buyers have been responding to similar homes in that particular neighborhood.


All of these details influence the strategy behind an offer and the consequences of getting that strategy wrong can go in either direction. An offer that is too low could cause you to lose a home you would have been willing to pay more for if there are other interested buyers. You may not get another opportunity to compete, in fact most sellers will just take the best offer and not bother negotiating. On the other hand, an offer that is unnecessarily high could mean paying more than you needed to when a different strategy might have gotten the property for less.


There isn't always one mathematically correct offer. There is a strategy behind the offer, and that strategy depends on the property, the market, the seller, the competition, and the buyer's own priorities. These are all things that are impossible to put together and strategize without years of experience. 


An Inspection Report Doesn't Always Tell the Whole Story


Inspection reports are designed to identify potential problems, and inspectors are doing their job when they document conditions that should be addressed or investigated. But an inspection report can many times make relatively minor issues sound much more alarming to a first time buyer or investor than they actually are to an experienced homeowner or real estate professional.


If you put that report into AI and ask it to tell you what is wrong with the property, many times you will simply get the same alarm explained to you in another way.


Consider something as simple as electrical outlet covers. An inspector may note missing, damaged, or improperly installed covers and assign an incredibly high recommended repair cost or even state that this has to be done by an electrician. To a first-time buyer reading the report, seeing a huge dollar amount attached with a recommendation to have an electrician fix it can make it feel much more serious than the $10 self fix that it actually is. In reality, an outlet cover is a relatively inexpensive item that can often be replaced for just a few dollars in a few minutes.


The point isn't that inspection findings should be ignored, they absolutely shouldn't. Significant safety, structural, electrical, plumbing, or environmental concerns deserve appropriate attention from qualified professionals. The point is that not every item on an inspection report carries the same level of risk or financial significance even though some inspectors note them all equally.


An experienced real estate professional can help a buyer put the report into context. They can explain what may be a relatively routine repair and what deserves a much closer look. They can also help the buyer understand which questions should be directed back to another qualified professional.


AI can summarize the report that is already summarized by the inspector but it cannot walk through the house with  you and say, "I've seen this before, and here's what it translates to."


That context can make a tremendous difference in whether you really walk away from something that you should or are losing your dream house over small details.


Sellers Can Make Expensive Improvements for the Wrong Reasons


The same principle applies on the selling side. Homeowners ask AI what improvements they should make before putting their home on the market all the time. AI might recommend updating the kitchen, replacing countertops, remodeling a bathroom, changing flooring, or making other improvements that are commonly associated with increasing a home's appeal. Or conversely, it may recommend you do nothing and sell at a much lower price.


The problem is that not every improvement is worth making in every home and some very small ones can lead to higher offers.


A seller can spend tens of thousands of dollars upgrading a kitchen based assuming that the investment will come back in the sale price. But whether that renovation makes financial sense depends on the home, the neighborhood, the price point, the condition of the rest of the property, and what buyers in that particular market value.

An experienced real estate professional can look at the existing kitchen and help determine whether it needs to be renovated before listing, whether a smaller improvement would make more sense, or whether the seller is better off leaving it alone.


Sometimes the best recommendation isn't to upgrade it. Sometimes it's to save the money.


Understanding the difference requires looking at the potential return on the improvement in the context of the specific property and the local market—not simply following a general recommendation about what buyers like.


A Home Is More Than a List of Features



These examples all come back to the same fundamental issue: a home is more than the information contained in its listing.


AI can look at square footage, number of bedrooms and bathrooms, sale price, lot size, property taxes, and recent comparable sales. It can organize the information and help you identify differences that might otherwise be easy to overlook.

All of that can be useful but what happens when the decision comes down to something that isn't easily measured?


Perhaps one buyer works from home and values a quiet neighborhood more than an additional bedroom. Another buyer may be planning to stay in the property for 15 or 20 years and therefore needs to think very differently about long-term maintenance and resale potential. Someone else may be purchasing an investment property and care less about the appearance of the home today than about the future demand for that particular location.


The "best" home on paper isn't necessarily the best home for that particular person because buying a home isn't just about the property. It's about the person buying it, their circumstances, their priorities, their financial goals, and their plans for the future.

An experienced real estate professional can have a conversation with a buyer that goes beyond the information contained in a listing. They can ask questions, recognize concerns, and sometimes help a buyer identify priorities they hadn't even considered.

AI can respond to the questions you ask. A good advisor can sometimes recognize that you are asking the wrong question.


Local Knowledge Is Difficult to Put Into a Search Result


Real estate is also intensely local, and this is an area where context matters tremendously.


Two homes can be only a few miles apart and have very different characteristics. A listing may tell you the home's address, square footage, taxes, school district, and recent updates, but that information doesn't necessarily tell you what it's like to live there or how the surrounding area is changing.


An experienced local real estate professional may know that a particular road becomes significantly busier during certain hours. They may understand how buyers have responded to a neighborhood over time or know which areas tend to attract certain types of buyers. They may be aware of development being discussed in the community, proposed changes to roads or commercial areas, zoning considerations, or other factors that could influence the future of a location.


Some of those things can eventually become available online, but knowing that information exists and understanding its significance are two different things.

Neighborhoods are constantly evolving. New development, infrastructure projects, community decisions, zoning changes, and other local factors can all influence how an area feels and how desirable it may become. Someone familiar with the market can help put those changes into context rather than simply presenting them as another data point.


That local perspective can be particularly valuable when you're thinking about a purchase as a long-term investment.


This Doesn't Mean We Should Stop Using AI


None of this is an argument against AI. Quite the opposite.

I believe AI can be an incredibly useful tool in real estate when it is used appropriately. It can help homeowners visualize renovations and design possibilities. It can help buyers organize information and generate questions. It can help sellers think about how to present their property. It can help professionals work more efficiently and explore ideas more quickly.


The key is understanding what the technology can and cannot do.

There is a difference between using AI to help with possibilities and using AI to help make the decision without a professional checking the information.

The first can be incredibly valuable. The second can create problems when the decision involves circumstances, relationships, local knowledge, or personal priorities that aren't captured in the available data.


Technology can help you become more informed. Experience can help you understand what that information actually means in your particular situation.


The Best Real Estate Decisions Combine Technology and Experience



I don't believe the future of real estate is about choosing between technology and people. I believe it is about using both in the ways they are best suited.

AI gives us access to tools that can help us visualize, research, organize, and analyze information faster than ever before. That's exciting, and I think we should take advantage of it.


But experience provides something different: strategy and judgment.

After nearly 20 years in real estate, I've learned that the right decision isn't always the one that looks best in a simple comparison. Sometimes the most important factor is something that doesn't appear in the listing. Sometimes the best strategy involves waiting rather than acting immediately. Sometimes the right negotiation is about knowing when to push and when to step back. And sometimes a seemingly small detail can have a much greater impact on a buyer's or seller's long-term outcome than they initially realized.


That's why I see AI as another tool in the toolbox, not a replacement for an experienced real estate professional.


Let AI help you see what is possible. Let experience help you determine what is right for you.


If you're looking for investment or a home in Upstate New York, I'm here to help you look beyond the obvious and develop a strategy that makes sense for your goals.


 
 
 

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