AI Didn't Buy Them Houses. It Removed the Gatekeepers.

Photo by Jean Claude Akarikumutima on Unsplash

There's a plot of land near me in Kigali, a little under 500 square meters. In 2006 it was worth around 3.5 million Rwandan francs. By 2025 it was valued somewhere between 50 and 65 million. That's not a typo. The land got about fifteen times more expensive in under twenty years, and nobody I know earns fifteen times what their parents earned.

I'm in my twenties. I look at the people younger than me, the ones still in school, and one question stays stuck in my head: will any of them ever own a home? Not a mansion. A home. Four walls that belong to them instead of a landlord.

For a long time the honest answer felt like no. Then I started seeing a different kind of story online. People a bit over my age, some under, some exactly my age, in markets just as broken as the one I'm watching, actually buying houses. Set aside the trust-fund kids, the inheritances, the lucky breaks, all of which are hard to come by now anyway. The ones I want to talk about used a tool none of us had five years ago.

Take Dominique Alonga, a pioneering Rwandan entrepreneur. In May 2026 she wrote something candid on her Substack: AI bought her a house. It's been in her name since late 2024, in one of Kigali's more affluent areas. She's careful about the claim, though. In her own words, the prompt is the start, and how you implement and execute is where the real secret lives. The tool opened the door. She still had to walk through it.

Now cross to Florida. In December 2025, the New York Post reported on buyers using an AI platform called Homa to purchase homes without a buyer's agent. DJ, a 32-year-old pharmacist, bought a $420,000 house in the Tampa Bay area and saved $10,500 in commission he'd otherwise have paid an agent. Vicki Lynn, a physical therapist assistant who moved from California to Vero Beach, bought a $313,000 home and put roughly $8,000 in saved commission straight toward her closing costs. The company behind the platform says at least ten homes had closed this way by the end of 2025.

Two continents. An entrepreneur, a pharmacist, a physical therapist assistant. Different countries, different price tags, different lives. The common thread is the part worth paying attention to.

So let's put it plainly. AI didn't "buy" any of these people a house. That's a crude marketing line. What it actually did was remove friction at specific, expensive points in the process.

Take DJ and Vicki Lynn. What they wanted was simple — buy a home, and keep more of their own money doing it. So they used Homa, a licensed brokerage that replaces the traditional buyer's agent with AI-powered tools plus human support, and credits most of the buyer's commission back to you at closing.

Here's why that matters. A traditional buyer's agent earns a commission of 2.5 to 3% of the entire purchase price. The more you pay, the more they make. Homa charges 1% instead, and rebates the difference back to you.

The gap gets staggering at the top end. On a $10 million home, a 3% agent commission is $300,000. Homa's 1% fee on that same home is $100,000, which means $200,000 stays with the buyer instead of leaving the deal. Most of us aren't buying $10 million homes, but the same math runs all the way down. On an $800,000 home, that's the difference between paying $24,000 and paying $8,000. For DJ, the real-world saving was $10,500 on a $420,000 home. For Vicki Lynn, about $8,000 on a $313,000 home, applied straight to her closing costs.

Then there's the part that has nothing to do with money. An AI tool has no ego. No emotion. No reason to upsell you or oversell a property. A human agent, however good, still has to make a living, and sometimes that pulls against your interests without anyone meaning any harm. The Homa system gives you fast home search, tour scheduling, and AI pricing analysis without that tension built in.

The man who built Homa, Arman Javaherian, used to be a senior product director at Zillow. His insight was simple: buyers already do most of the work, finding the homes, doing the legwork, and then an agent steps in at the finish line to collect a five-figure commission. Once you see it laid out like that, it's hard to call the old arrangement fair.

But this is where Dominique's framing matters. The prompt starts the process. Your execution finishes it. Every one of these buyers still had their own hustle. They still had to qualify financially, save the deposit, carry the risk. What the AI made easier was the research and the paperwork. The ownership is still entirely theirs.

What AI homebuying tools actually do in 2026

If you strip away the headlines, the tools doing this work all handle a handful of specific jobs. Each one used to be bundled into an agent's commission. Here's what they actually do.

Plain-language home search. On Redfin, you can type what you actually want, a quiet street, room to grow, a short commute, and the platform surfaces homes you wouldn't have thought to search for. You're describing a life, not filtering by bedroom count.

Pricing analysis. Zillow's automated estimates and Homa's AI help you judge whether a listing is fairly priced or inflated before you ever call anyone. You walk in already knowing roughly what the place is worth.

Tour scheduling. Instant booking instead of phone tag with an agent's calendar. You see what you want to see, when you want to see it.

Contract drafting. Vicki Lynn described Homa's contract system as similar to TurboTax, filling in the blanks, straightforward. The paperwork that used to feel like a foreign language becomes a guided form.

Comparable-property research. Flyhomes' tools let you ask the questions you'd be embarrassed to ask a human, the basic ones, the ones that make you feel like you don't belong in the room. No judgment from a search bar.

None of these is magic. Every one of them is just a task a person used to pay 2.5 to 3% of their home's price to have handled. Pull those tasks apart, price them at almost nothing, and the whole arrangement starts to look different.

The other side of the argument

It would be dishonest to write this without the other side, so here it is. Not everyone in real estate thinks this is progress.

Ivan Chorney, a broker with Compass real estate in the Miami area, argues that AI t ools mostly repackage formulas already available on sites like Zillow, while missing the things that actually move a deal. His point: motivation, pressure, ego, and timing don't show up in public records, and neither do undisclosed development plans or the construction project about to break ground next door. A good human agent knows the street. An algorithm knows the listing.

The interesting part is that Javaherian, the man who built Homa, doesn't entirely disagree. He's said the platform aims for something like 95 to 98 percent autonomy, not 100, and that its paid tier assigns a human transaction broker to review the deal. His own comparison is to self-driving cars that still keep a person ready to take the wheel. This is the biggest purchase of most people's lives. Nobody serious is pretending the human is fully out of the loop.

So the honest framing isn't "AI replaces real estate agents." It's smaller and more useful than that. AI is unbundling the agent, taking the parts that were really just data work and software and handing them back to the buyer, along with the commission that used to pay for them.

What this actually means if you're young

Here's where I have to be straight with you, because this site isn't here to sell you a fantasy.

AI did not solve the housing crisis. That plot near me still costs somewhere north of 50 million francs. DJ still needed $420,000 and the credit to borrow it. Vicki Lynn still had to qualify, save, and sign. Dominique still had to execute, her word, not mine. None of these people got a house for free, and none of them got one easy.

What changed is more specific, and it's still worth understanding. For most of modern history, a layer of gatekeepers stood between ordinary buyers and the things they were already doing themselves, the searching, the comparing, the paperwork, and that layer charged a percentage of the most expensive purchase of your life for the privilege. AI is the first tool that lets a normal person do that work alone, keep the money, and not feel lost doing it.

That won't make you a homeowner by itself. But if you're young and you've quietly decided that owning anything is hopeless, it's worth knowing the ground moved. The market is still brutal. The gatekeepers are no longer guaranteed. Both of those things are true at once, and you get to decide what to do with them.

I'm figuring this out alongside you. That's the whole point of this place.