I was an early adopter of AI for reasons that weren’t as sexy as you might imagine.
It was 2021 and I was going through a divorce, with mountains of paperwork and very expensive attorney fees. AI has turned out to be a godsend. I discovered the Apple app Typing Mind and learned about API keys to access multiple AI providers (OpenAI, Anthropic, Google, Perplexity, OpenRouter) through a single frontend.
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For a beginner like me, it was transformative. I used to feel powerless and ignorant, but now I feel more knowledgeable and a little more confident. The AI was helpful and gave the lawyers (who hate lawyers, by the way) lots of suggestions. I started to have some hope.
But I quickly learned that AI is like “that friend.” I mean, you know someone who’s super nice, always excites you, super confident, but gets their information from YouTube or Reddit. Although well-intentioned, I tend to email political conspiracy theory videos I saw on Facebook at 10 p.m.
you love them I mean that in a good way…
know you
AI models are fast, helpful, and eager to please. They are also overly friendly and overconfident, trying to invent details even when the real answer is not in the data. In plain English, they lie with the confidence of a three-year-old to make you happy and make you think they’re smart.
I learned how to encourage models to cite sources and provide links. The more I use it, the more I understand how to use it. And the more I used it, the more I realized I couldn’t trust it.
This is a feature of this technology that real estate agents need to understand before building a business around it.
cheerleader problem
Once you start testing models side by side, patterns quickly emerge. Some models offer a more sophisticated sound. The other one sounds more analytical. The other one sounds warmer. But its behavior is consistent across the board. These are designed to be helpful and engaging.
This is useful when drafting emails to past clients, but less important when making decisions about real estate, loans, contingencies, or whether cracks in the foundation are “cosmetic” or structural.
The model can tell you with complete confidence, “This seems like a fair price,” but it doesn’t know that the comp it’s using is 6 months old, or that the comparable sale it’s referencing ended 12 percent below asking price because the fundamentals failed. Models don’t know what they don’t know. That’s just what it sounds like.
What is real estate exam?
The real estate industry operates on information, timing, and interpretation, which is why AI is an interesting area. So it’s a natural place to use AI, but a dangerous place to use it lazily.
According to the National Association of Realtors’ 2025 Technology Survey, 68% of agents currently use AI tools in their work, but only 20% use them on a daily basis. The gap is not about access. It’s a question of trust. Agents are experimenting but not integrating AI into their workflows.
Agents are already using AI for list copying, social media, email follow-up, market research, and customer education. Consumers are already using it to compare homes, summarize neighborhood data, and ask questions they previously asked humans. Vendors are already selling AI as if it is a shortcut to intelligence.
It’s just a shortcut, and that’s why validation is the new core skill.
retail problems
The real estate industry has always welcomed the prospect of shortcuts. A better lead source. Smarter CRM. Predictive pricing tools. A dashboard that somehow replaces discipline, judgment, and follow-through.
AI sounds like the next upgrade, so slot into that dream. Not surprisingly, vendors are touting it like a panacea because it’s faster, cheaper, writes better, and does all the things that agents and assistants hate.
That’s why so many vendors are selling AI the way they used to sell “synergy” or “blockchain.” They know that the average user won’t check their work. They know that most people are too busy, too trusting, too comfortable having a machine write their email for them.
However, in real estate, convenience without verification is just a shortcut to trouble.
human touch
The smartest people I know don’t treat AI like a magic wand. They treat it like a junior assistant who works very quickly and sometimes makes eye contact and lies.
This means that the output will be reviewed. Facts confirmed. Assumptions are tested. The last word remains human.
This is where real estate becomes a perfect case study for AI trusts. The industry already relies on translation. We take complex facts and turn them into useful advice. Learn about contracts, financing, market trends, and why a seller’s “firm” price can be negotiable if the home has been on the market for more than 30 days.
So while AI is useful, it also comes with risks. Being confident is not enough because we are in a business where shortcuts can cost our clients tens of thousands of dollars. Verification required.
trust gap
Ultimately, AI can save time and be a great starting point. AI is a great tool for those who understand that simple fact. However, that’s not the final answer.
This distinction is important because consumers are told that AI can help them write listing descriptions, summarize market trends, answer pricing questions, and explain contract language. Some of that is true.
Some are helpful. But useful and reliable are not the same thing. It can be very troubling when people are found to be lazy, especially when the matter being discussed is governed by a regulatory framework.
The agent that wins in the next cycle will not be the one that adopted AI first. They will be the ones learning how to validate the output of AI the fastest. They will treat the model as a starting point rather than the final answer.
