What AI can really do in real estate — and what it can't

Let's start fairly. Artificial intelligence today handles a number of tasks that just a few years ago took agents hours of time. Tools like ChatGPT, Claude, or specialized platforms such as Homesage.ai can write a professional property description, analyze market data, or automatically answer inquiries from interested parties 24 hours a day in a few seconds.

According to data from the AceableAgent survey for 2026, 85% of buyers already use some AI tool when searching for housing, and 97% of them claim that AI increases their confidence during the purchasing process. Information that previously required hours of Googling is now available in a few seconds.

AI also excels at:

• Fast initial response to inquiries — chatbots react instantly, and MIT research shows that the speed of the first contact is the most important factor for converting a lead into a client.
• Market data analysis — price comparison, trend tracking, property value estimates in seconds.
• Virtual staging — tools like REimagineHome can virtually furnish an empty apartment in 30 seconds for about 30 dollars (approx. 650 CZK). Classic home staging, however, costs thousands of dollars and takes days.
• Long-term contact maintenance with interested parties — AI CRM systems can automatically follow up with clients for 12 to 24 months without human intervention.

Where AI hits its limits

However, buying a property is not like buying a book online. It's one of the biggest financial investments in life — and this is where the human factor becomes irreplaceable.

Daniel M. Berger, a licensed real estate agent and owner of RE/MAX Prestige Properties in Westchester County, New York, describes it simply: "AI helps you start the conversation. But you still need someone to assess the situation and do what's best."

Berger, who has closed hundreds of transactions in his career and authored the book Adventures of a Real Estate Broker, points out situations that no algorithm can solve: a tenant refusing to vacate a sold property and threatening a lawsuit two weeks before closing. Probate proceedings without a family to coordinate decisions. Underground oil tanks, open building permits, and structural issues that require professionals who trust each other enough to speak frankly.

And then there's another fundamental problem, also warned about by a study by the European Broadcasting Union (EBU) led by the BBC — a phenomenon called "cognitive capitulation". This is a state where people accept AI-generated answers without sufficiently verifying them. A buyer might use AI to estimate what they can afford or to compare neighborhoods — and receive a confidently sounding answer that, however, lacks key local factors such as school district boundaries or price differences at the street level.

What the numbers say: agents are not dying out

Data from 2026 bring surprisingly good news for real estate agents:

• NAR 2026 (National Association of Realtors USA): 89% of buyers and sellers still used a human agent, even though AI tools were available to them.
• McKinsey: Real estate agents are among the professions with a low risk of automation — precisely because of the high need for emotional intelligence, physical presence, and complex judgment.
• Zillow: 76% of buyers stated that they would not buy a property without a human agent, even if AI were available to them.
• T3 Sixty (2026): Agents using AI close on average 34% higher Gross Commission Income (GCI) than their colleagues who ignore AI.

AI doesn't replace agents — it replaces routine

The real story of 2026 is not that AI is replacing real estate agents. It's that AI replaces routine tasks — thereby freeing up agents' hands for what they are truly irreplaceable for.

Negotiating prices, reading the other party's emotions, knowing when to push and when to back down — these are skills that no language model can master. The same goes for a physical property viewing. A professionally photographed apartment might look like perfect housing in pictures, but only when the agent arrives on site will they see cracked walls, clutter, and unfinished details that the photos cleverly masked.

Laura Adams, a senior analyst at AceableAgent, summarizes it this way: "Buyers use AI, but they trust people more with their most important financial decisions. AI can provide information, but agents provide interpretation."

The Czech real estate scene and AI: the first swallows are already flying

The Czech real estate market is not lagging either. Tools like FRANTY.cz already exist on the market — a Czech AI assistant for real estate agents that automates email responses, creates professional advertisements, and can publish on Sreality.cz and Bezrealitky.cz with a single click.

Another example is the EstateX.club platform, which specializes in AML compliance for real estate agencies — an area that Czech law has mandatorily required since last year. It runs on its own GPU servers, which means independence from cloud APIs and the possibility of training its own models.

Even Czech agents who actively test AI agree on one thing: AI is an assistant, not a replacement. An agent who knows the locality, can negotiate, and understands the client's needs cannot be replaced by any algorithm.

What this means for the future of the profession

The conclusion is surprisingly optimistic — for those willing to adapt. AI will not make real estate agents redundant. But it will make agents who ignore AI redundant.

Agents who actively use AI today close more deals, serve more clients, and generate higher incomes. Routine work disappears, making room for what truly matters: building relationships, local market knowledge, and the ability to solve unpredictable situations.

For Czech agents, a simple recommendation follows: start using AI today. Not because it should replace you, but because it can put you ahead of the competition that hasn't jumped on it yet.