Can You Trust AI Advice When Buying or Selling a Home?

Real estate buyers and sellers are using AI more than ever before.

People ask AI about everything these days:

• Whether a strange symptom is worth a doctor’s visit
• How to word an awkward text
• If that noise in the car is harmless or a bigger issue
• How to negotiate a salary or make a major life decision

So it is no surprise that people are also turning to AI when they are buying or selling a home.

And to be fair, AI can be helpful.

It can explain the home buying process, define real estate terms, help you understand timelines, and even give you ideas for questions to ask.

Used the right way, it can make people feel more informed and prepared.

The problem is that AI often sounds very confident, even when the answer is incomplete, outdated, or simply does not apply to your exact situation.

That can become a challenge in real estate because every market, property, neighborhood, and transaction is different.

What works in one area may not apply in another. What made sense six months ago may not be true today.

A recent story shared by celebrity real estate agent Ryan Serhant showed just how quickly this can happen.

In a major real estate deal, the seller asked AI whether they were accepting too low of an offer. AI told them yes.

At the same time, the buyer asked AI whether they were paying too much. AI told them yes too.

Suddenly, both sides felt like they were making a mistake and wanted to walk away.

The deal only came back together because the agents involved were able to step in, explain the actual market data, provide context, and help both parties understand what was really happening.

That is becoming more common in today’s market.

The challenge is no longer that people do not have enough information. It is that they have too much information, and not all of it is accurate.

In many ways, AI is becoming the new “well-meaning dad” in real estate.

For years, agents have helped buyers and sellers sort through advice from:

• A parent who bought a home 30 years ago
• A friend who sold one house once
• A neighbor who “knows the market”
• Someone at the hair salon who always seems to know every listing in town

They all mean well. They are all confident. But sometimes their advice is outdated, incomplete, or simply wrong.

AI is similar.

It can be a great starting point, but it is not a replacement for local expertise, current market knowledge, and real-world experience.

That matters even more in a market like ours here in central Connecticut, where inventory remains low, pricing can vary significantly town to town, and strategy matters.

A home in Durham may need a different approach than one in Middletown, Madison, or Haddam. Negotiating terms, pricing a home correctly, understanding buyer demand, and reading the local market all require more than a generic answer.

AI can help you ask better questions.

A trusted local agent helps you get the right answers.

The best approach is to use both.

Gather information. Ask questions. Explore different ideas.

But when it comes time to make one of the biggest financial decisions of your life, make sure you have someone who understands your local market, your goals, and your specific situation helping you separate the confident-sounding advice from the advice that is actually right for you