Guide
How agents, brokerages, property managers and commercial teams use AI, whether it will replace agents, the rules that apply and the first steps to take.
Updated 7 min read
The short answer
Artificial intelligence in real estate means software that reads, writes and sorts information so people spend less time on routine work. AI answers leads, drafts listings, handles paperwork and flags patterns, while people keep the relationships and the decisions.
Key points
Side by side
A rough split of the work in a typical deal.
| Criterion | AI can handle | A person keeps |
|---|---|---|
| New lead | Instant reply, first questions, booking | The relationship and the follow-up call |
| Listing | First draft from property details | Accuracy check, pricing, photos |
| Transaction | Document checks, deadline reminders | Negotiation and client advice |
| Tenant request | Sorting, common answers, scheduling | Disputes and exceptions |
Real estate runs on information: leads, listings, contracts, leases, maintenance requests. AI is software that can read and write that information, not only move it.
That is the difference from older tools. A rule-based tool follows fixed steps. AI handles messy inputs like a voicemail, a scanned lease or a loosely worded question.
For a deeper look at the technology itself, see our guide to AI automation.
45%
of property managers use AI tools, up from 21%
88%
of investors, owners and landlords are piloting AI
The Institute of Real Estate Management and AppFolio found that the share of property managers using AI tools climbed from 21% to 45% between late 2023 and mid-2025.
JLL's 2025 survey of investors, owners and landlords found 88% had started piloting AI, with most running about five use cases at once. Use of AI in real estate industry-wide is broad but early.
The National Association of REALTORS® reports that agents want two payoffs from technology: time and a smoother experience for clients.
In its 2025 survey, 82% of agents said clients responded positively to technology being built into the service.
How can AI help real estate agents? Mostly by covering the work that happens when the agent is busy or off the clock.
Listing work is writing-heavy. AI can draft descriptions from property details, which the agent edits for accuracy before publishing.
Transactions are paperwork-heavy. Real estate workflow automation helps because a deal has many handoffs: offer, inspection, financing, closing. AI can read documents, check what is missing and remind each party of the next deadline.
Automation in real estate works best on steps that repeat on every deal. Our AI for real estate work covers lead calls, showings, CRM updates and listing drafts.
Property managers handle a steady stream of small requests. AI sorts maintenance messages, answers common tenant questions and drafts owner reports.
IREM and AppFolio also found that 62% of current users only began using AI in the past year. Most managers are still early, so small pilots make sense.
Will AI replace property managers? The work that moves to software is routine: sorting, answering, reporting. Inspections, vendor relationships and tenant disputes still need a person.
92%
of corporate occupiers run real estate AI pilots
5%
of companies piloting AI achieved all their AI goals
Commercial deals run on documents and data: leases, rent rolls, market reports. Machine learning for commercial real estate finds patterns in that data, and AI reads and summarizes the documents.
JLL found that 92% of corporate occupiers are running real estate AI pilots. Yet only 5% of companies piloting AI achieved all of their AI goals. Pilots are easy to start and hard to finish.
88%
of home buyers used an agent or broker
90%
of home sellers used an agent or broker
+2%
projected growth for brokers and agents, 2025 to 2035
The numbers say not soon. The Bureau of Labor Statistics projects employment of real estate brokers and sales agents to grow 2 percent from 2025 to 2035, slower than average.
Buyers and sellers still lean on people: 88% of buyers and 90% of sellers used an agent or broker in 2024, according to NAR. A big purchase is emotional, local and negotiated.
So will AI take over real estate agents? It will take over tasks, not trust. Agents who use AI for the routine work have more time for clients.
AI does not exempt anyone from housing law. HUD says the Fair Housing Act prohibits discrimination based on race, color, national origin, religion and sex, among other characteristics.
It also says tenant screening companies that use AI must comply.
HUD warns that ad targeting and delivery can break the Act when they deny people information about housing based on protected characteristics. If AI picks who sees your ads, you still own the result.
Federal agencies also finalized a rule on automated valuation models. It aims to ensure the credibility and integrity of the valuations these models produce for certain mortgages.
Calls and texts have their own consent rules, so check them before automating outreach.
To use AI for real estate work, pick one use case with a clear cost. Missed calls, slow lead replies and manual data entry are common first choices.
Run it on the tools you already use, test it on real work and track the hours saved. Then add the next process.
Our AI strategy consulting maps your repetitive processes with the hours and dollars each one costs, then ranks them by payback.
Our data
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for real estate. They named 120 companies, and 82% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 48 | 51 | 49 |
| Sites cited most | followupboss.com (3 of 10) | ascendix.com and masterofcode.com (3 of 10) | housingwire.com (4 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 6 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.
FAQ
Final step
You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.
You can keep paying for manual work, or find out this week exactly what it costs you.
What happens on the call
Before
You answer 3 quick questions when you book, so we come prepared.
On the call
We find the manual work that costs you most and put a number on it, live.
Decide
An honest read on whether we're the right fit. If we're not, you'll hear it on the call.
Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.
Prefer to write first? Email us directly: contact@nexumautomations.com
