Real estate doesn’t have an AI awareness problem. Agents know about AI, and they are ready to use it. The real challenge is finding a solution that fits and scales with their business strategies.
Only 20% of real estate agents use AI every day. That’s about the same as the average non-real estate office worker. The difference? Daily AI use among those office workers jumped by 233% in just six months.
Will real estate see that same leap? It could – but only if the technology is built for how agents actually work.
What is the Tech Adoption Problem in Real Estate?
Tech adoption in real estate has been slow for years. Brokerages have improved onboarding, expanded training, and pushed harder for agents to use the tools they provide. The technology is better, and the user experience is cleaner, but still, adoption hasn’t kept pace. And when adoption stalls, so does the return on the technology brokerages are investing in.
Now, with AI, the gap is even larger. Other industries are seeing massive leaps in adoption, while real estate lags behind.
It’s not that your agents don’t see the value. It’s that most of what’s been introduced to the real estate industry wasn’t built for it. Companies are layering pieces of AI onto their existing systems to help agents write an email or social post – but that’s no different than deciding what to ask ChatGPT.
Meaning, once again, the agent is expected to do more work just to make the technology work for them. If that’s the case, why would they use it? AI in real estate should give agents time back, not take more of it. It should surface meaningful actions the agent didn’t even know to ask, create outcomes, and then give the agent the power to approve, edit, or decline every move.
Why Real Estate Needs Native-AI
Real estate happens fast. Too many AI tools expect agents to stop, think, know exactly what they want – and then write the perfect prompt to achieve it. All in the middle of a day full of showings, text threads, and offer negotiations. That’s not how real estate works.
If your agents have to go looking for the tool, like opening another tab or remembering a login, it’s already game over. The right AI should work alongside of them within the tools they already use – not add to the list of ones they’re “supposed” to.
That speed is only part of the challenge. Real estate is emotional, personal, and you don’t get a second chance if a message feels off. You need a solution that understands how real buyers and sellers behave. Only then can it guide your agents responsibly.
Marketing technology that simply adds AI on top will not help agents nurture relationships or close more deals. It also won’t scale consistently across a brokerage. Real estate requires native-AI built for the realities of this industry – and that is exactly why MoxiWorks launched RISE.
How RISE Solves the Adoption Problem
RISE is the only real estate AI marketing platform that surfaces what agents didn’t even know to ask — then builds the campaigns, emails, and presentations that help to close more deals.
Using the behavioral data captured from their own databases, RISE tells your agents who to call, what to send, and when to act. It reads the market, spots the opportunity, and suggests a prioritized task. For example, “Call this client today. Here’s why. This one’s time-sensitive.” That’s how real estate intelligence should work.
It doesn’t just say what to do. It explains why. If your agents can’t see why a recommendation was made, they’ll ignore it. Real estate runs on trust, with clients and technology. The right tool must always make the reasoning clear. For example, the client viewed the listing three times, their mortgage is up for renewal in 60 days, or they just checked what their home is worth.
An Agent’s Day in the Life with RISE
Here’s how RISE can actually show up in your agent’s day.
Morning
RISE shows the agent their top priorities today.
Midday
RISE drafts the listing materials once the agent decides to act.
End of Day
RISE reports what worked, while and lining up what’s next.
The Future of AI and Real Estate
Most real estate tech companies have bolted generic AI onto their platforms and expected it to fit. It doesn’t – and the slow adoption rate shows it.
The future of AI in real estate belongs to systems built for how real estate actually gets done – on the road, in text threads between appointments. Agents will not adopt technology that does not adapt to them, and honestly, they shouldn’t have to.
