Last spring, I passed a small office in Queens with a sign in the window that said “AI-assisted home search” in smaller print beneath three languages: Mandarin, Spanish, and English. That sign would have said something different a year ago. Perhaps it would have stated “translators available.” Perhaps nothing at all. The shift is silent, but if you know where to look, you can find it everywhere.
For many years, the American real estate market has operated under the strange premise that the buyer eventually learns to communicate in English, even if they don’t think, dream, or argue with their spouse about whether the kitchen is too small in English. Yes, the handshake sealed the deal, but all of the paperwork was written in English, including the disclosures, inspection reports, and mortgage clauses that were filled with jargon that nobody outside the industry truly understood. That was the cost of admission. Perhaps the price is finally being renegotiated.
Meeting customers where they are is something the industry has long struggled with, but bilingual AI is doing it. With Zillow’s natural-language search, a user can enter a query in conversational Spanish and receive homes that are filtered by yard size, commute, and school district without ever having to click through a filter menu. Redfin, which currently operates within Rocket Companies, is wiring its assistant to carry context across closing, financing, and search—and increasingly across languages as well. Brokers I’ve spoken to seem to feel that this is no longer a feature. It’s turning into the floor.
The figures contribute to the explanation. According to NAR’s international transactions data, foreign buyers bought about $42 billion worth of residential real estate in the United States in the year that ended in March 2025. However, domestic capital is more significant than foreign capital. A language other than English is spoken at home in about one in five American households. Those families have been navigating the biggest financial decision of their lives in a borrowed language for decades. AI is beginning to bridge that gap in ways that bilingual signage and pamphlets could never.
It’s difficult to ignore the irony as you watch this play out. In many respects, the technology that is being praised for “personalization” is simply speaking the client’s language, literally, as competent neighborhood brokers in places like Hialeah, Flushing, or Houston’s Bellaire have done for years. Scale makes a difference. When a buyer in Karachi wants to inquire in Urdu whether the property taxes on a Frisco listing seem excessive at 11 p.m., an algorithm doesn’t get bored. It simply responds.
Who is in charge of the trust is less obvious. In real estate, there is a long-standing custom of viewing the agent as the cultural translator—the one who explains why the home inspector flagged the chimney or why the seller is requesting a 30-day rent-back. More of that explanatory weight is being placed on bilingual AI, and its potential legal ramifications have not yet been thoroughly examined. Model-translated disclosures remain disclosures. If something goes wrong, it’s genuinely unclear who is to blame: the buyer who hit accept, the platform, or the brokerage.
The direction feels certain, though. Bilingual AI is the least expensive way to provide sharper service across a buyer pool that no longer looks, sounds, or searches like it did even five years ago. The post-settlement market has forced agents to justify every dollar of commission with sharper service. The successful agents I know don’t struggle with the tools. They are using them to accomplish the kind of multilingual hand-holding that used to require an entire afternoon and a cousin who just so happened to speak the language in fifteen minutes.
The deal is still sealed with a handshake. After a lengthy conversation, it simply happens—more frequently now—that neither party needed to translate.
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