{"id":62848,"date":"2026-04-22T03:00:21","date_gmt":"2026-04-22T01:00:21","guid":{"rendered":"https:\/\/housesmarketplace.com\/why-ai-is-still-a-subpar-real-estate-agent-replacement\/"},"modified":"2026-04-22T03:00:21","modified_gmt":"2026-04-22T01:00:21","slug":"why-ai-is-still-a-subpar-real-estate-agent-replacement","status":"publish","type":"post","link":"https:\/\/housesmarketplace.com\/ru\/why-ai-is-still-a-subpar-real-estate-agent-replacement\/","title":{"rendered":"Why AI is still a subpar real estate agent replacement"},"content":{"rendered":"
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I recently got a question from Real Estate Writer Michele Lerner for \u0424\u043b\u043e\u0440\u0438\u0434\u0441\u043a\u0438\u0439 \u0440\u0438\u044d\u043b\u0442\u043e\u0440<\/em> magazine<\/a> that cut right to the chase of this technological moment: Can AI replace real estate agents?\u2063<\/p>\n

Here\u2019s my answer: Not yet. And maybe not ever, but not because I\u2019m anti-tech. Quite the opposite. I\u2019m an early adopter. I love tools that make us more efficient and informed. Yes, AI is improving every day, but here\u2019s what I also know: there\u2019s a difference between a tool and a trusted, credible advisor (that\u2019s you!).\u2063<\/p>\n

As of now, \u0418\u0418<\/a> is as good as the resources it can search and scrub.\u2063 But information stored in someone\u2019s brain is simply not available for AI to data-mine (yet). I\u2019m talking about unwritten rules of thumb. Heuristic knowledge. Undocumented, insider information and experience from a 20-plus-year pro that can best be learned from a mentor or coach, not AI curation of only existing documents. You know, the \u201csecret sauce.\u201d\u2063<\/p>\n

The cost of AI being at the bottom of the learning pyramid (for now)\u00a0<\/h2>\n

\u2063Let me geek out for a bit. There\u2019s this framework called Bloom\u2019s Revised Learning Taxonomy<\/a> that I reference quite a bit as an MBA professor. Think of it as a pyramid of thinking skills. At the very bottom is Remembering<\/em>,\u201dquickly curating information<\/a> on a topic. AI is currently great at that base level. No argument from me.\u2063<\/p>\n

\u2063But savvy \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044b \u0432 \u0441\u0444\u0435\u0440\u0435 \u043d\u0435\u0434\u0432\u0438\u0436\u0438\u043c\u043e\u0441\u0442\u0438<\/a> are still better at the higher functions of that pyramid. Analyzing<\/em>, evaluating<\/em>, \u0438 creating<\/em> positive real estate experiences for homebuyers and home sellers who may only have one or two transactions a decade.\u2063 This pyramid highlights levels of learning and also the difference between a tool and a strategist.\u2063<\/p>\n

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This matters because moving is often considered one of the top five stressors in life. And often when we are moving, we have another stressor, such as a career change or a household loss (or growth). Thus, for someone who is not a professional real estate investor, this can be a double whammy in regard to stress.<\/p>\n

\u2063For instance, when my grandmother sold the home that she had raised my mom and her siblings in, after having lived there for 50 years with my granddad (who had passed a couple of years prior), emotionally, that was tough for her. AI could definitely spit out a list of things to do, like \u201cStep one: Declutter. Step two: Cry later,\u201d which feels like what I call AI purgatory. Like me, you may hate AI purgatory, which spits out trite bullet points. Emotionless AI can feel callous and insensitive at times.<\/p>\n

But it took human empathy (a function AI has not yet mastered) to help her close that chapter with dignity. Years later, my 97-year-old grandmother still grieves my granddad, that home and our life there. It has only been the human connection that has brought her solace.<\/p>\n

\u2063As another example, look at what just happened in Cooper City, Fla. A man named Robert Levine used ChatGPT<\/a> to sell his home. According to Ines Hegedus-Garcia<\/a>, the buyer\u2019s agent on that deal, the sale shows that while ChatGPT may have helped Levine get to market, it didn\u2019t help him fully capitalize on the multioffer scenario that presented itself.\u2063 Hegedus-Garcia estimated that the cost of not having experienced, savvy representation likely landed somewhere between $75,000 and $225,000. Yeesh!\u2063<\/p>\n

\u2063That additional step is analyzing, evaluating and creating. That\u2019s the top of Bloom\u2019s learning pyramid.\u00a0<\/p>\n

While we are counting costs, here\u2019s something we don\u2019t talk about enough: AI isn\u2019t free. Not financially, and not environmentally. Every query, every scrape, every model training run requires massive amounts of energy and water. This is a cost to our neighborhoods that may be too expensive to keep paying.<\/p>\n

T.A.P. into your value above and beyond AI<\/h2>\n

I have been successfully coaching agents around the globe for more than a decade with a core strategy<\/a> called T.A.P. into Your Value, which allows them to thrive despite new tech and trends (remember iBuying?). Here is how it works:\u00a0<\/p>\n