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Moving into the first half of 2026, the boundary between traditional real estate brokers and multi-million-dollar brokerage professionals in Vietnam is increasingly defined by one factor: the ability to collaborate with AI.
No longer limited to drafting listings for Facebook posts, AI is now positioned as an all-purpose assistant helping Vietnamese brokers read the market, price more accurately, and close deals several times faster through improved professionalism.
Where brokers previously spent a day drafting posts for 10 Facebook or Zalo groups, Vietnamese AI tools now reportedly optimize that process to seconds.
Minh Hoang, a broker specializing in high-end apartments in Hanoi’s Tây Hồ district, said he uses an AI-assisted assistant combined with AI-generated floor plans to screen clients. Instead of taking clients to view properties 5-7 times per week, Hoang uses AI to handle initial questions and only forwards connections when clients show a genuine intention to place a deposit.
“AI helps me handle 50 potential buyers simultaneously without missing anyone. Previously, with that volume, I would surely become overwhelmed and lose clients,” Hoang said.
Van Anh, a long-time broker in West Hanoi’s luxury apartment segment, cited a recent deal: a penthouse worth nearly 50 billion VND closed after only two client showings. The client was described as a highly discerning investor with a strong grasp of the numbers.
“Previously, it took me a week to compile historical price data, infrastructure plans, and cash-flow calculations for clients. But now I only need five minutes using the platform's internal AI tools to generate a deep, visually appealing analysis report with charts comparing neighboring projects over the last three years,” Van Anh said.
The article attributes stronger client trust to AI’s instant, highly detailed information and the professionalism it enables brokers to deliver.
Rather than offering a subjective view, Van Anh said he provides figures based on AI data: “AI data shows the area's price growth is about 12% per year, higher than the district average by 4%.”
In Vietnam, the AI-driven shift in real estate brokerage is described as accelerating. According to Van Anh, about 70% of brokers in Hanoi and Ho Chi Minh City have integrated AI into their daily workflows.
The article highlights three turning points:
Van Anh said: “Previously, shooting a house video required hundreds of takes; now with AI, I can produce hundreds of videos at once.”
Hoang added: “Previously, selling a project meant chasing clients all day; now there is live-stream software, AI helps me advise hundreds of clients from home, with broad reach, and 3D visuals that are about 80% close to reality.”
The article places Vietnam’s shift within a broader global trend. Data aggregated from the U.S. National Association of Realtors (NAR) and PropTech analytics firm T3 Sixty is cited to show that in Q1 2026 alone, AI-driven agencies contributed to real estate transactions worth about $2.1 billion.
It also notes that two years ago AI was used mainly to remove noise from images or fix typos, while current usage is described as more operational and decision-oriented.
Delta Media Group’s survey is cited as showing that 97% of large brokerage firms confirm their agents use AI daily, up from 80% in 2024.
In the United States, the article cites an example of Robert Levine in Florida using ChatGPT to sell a home in five days for nearly $1 million—about $100,000 above typical broker valuations. The takeaway presented is that AI is used to deliver speed and accuracy rather than replace human judgment.
It also states that in some major Vietnamese projects, AI assistants can help calculate bank loan rates and real-time loan packages, reducing pressure on on-site brokerage teams.
Overall, the article argues that brokers who use AI to strengthen their own analysis and execution can automate much of the routine workload—such as paperwork, client screening, and contract drafting—while still focusing on negotiation, relationship-building, and other human-centered tasks.
For Vietnamese brokers, the article frames the key question as not whether AI will take jobs, but how they will compete when rivals operate with 24/7 deal-closing capability at a fraction of the cost.
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