Property Management AI Statistics for 2026

If you run a property management company of a few hundred people, much of your week goes to two problems: the onsite people who leave, and the paperwork the people who stay can't get through.

At real estate companies your size, nearly three in ten onsite employees left within a year,¹ and property management staff spend two thirds of their week on routine paperwork and urgent fixes.² Software vendors now pitch AI for both, and owners have started asking whether you use it.

The industry's own 2025 and 2026 surveys answer that question better than a demo can, once you separate what industry bodies measured from what vendors report about their own products.

Most property managers now use AI, and most of that use is people typing into a general-purpose chat tool. Only 7% of fee managers say their company uses AI that finishes a multistep task from start to finish, and 9% say they have measured any result.³

The costs that would pay for more are measured well: payroll, the paperwork week and fraud. Below are those numbers with their scope, and how we turn one costly job into an AI agent that runs on its own and is counted in hours saved and errors avoided.

Most of these surveys were run or paid for by a company that sells property management software, usually with an industry body beside it. I name the publisher with each number, because it changes how much weight the figure can carry.

58% of Property Managers Now Use AI, Up From 21% in 2023

The Institute of Real Estate Management (IREM) has tracked AI use in property management with AppFolio since late 2023. The share of professionals using AI went from 21% at the end of 2023 to 34% a year later and 45% in mid-2025,⁶ and the 2026 survey, with 3,662 responses in the United States, puts it at 58%.

Among the people who use it, 78% use it daily or almost daily.⁴

Most of those users are new to it. In mid-2025, 62% of AI users had started within the past year,⁶ and in NARPM's 2026 survey of fee managers, more than half of the companies that use AI began in the last 12 months.³ Company rules have not caught up with them. 8% of respondents say their organization has a written AI policy, and 26% have had formal AI training.⁴

You'll see four different adoption figures for 2025 and 2026, and they disagree because they ask different people different questions:

• 44% of respondents use AI in their roles, in AppFolio's own benchmark survey of 1,617 property management professionals in the fall of 2025.⁷⁸
• 33% of property management companies already use AI or automation, 18% plan to adopt it in the next year and 32% are investigating it, in Buildium's May 2026 survey of nearly 1,000 professionals, 41% of whom manage 100 units or fewer.⁹
• 58% of people use AI in their jobs, in the IREM survey above.⁴
• 78% of fee managers say their company uses AI in some form, in NARPM's survey with AppFolio in July and August 2026.³

Buildium's own figure was 58% in its May 2025 survey.¹⁰ The 2026 survey drew a different sample and asked about "AI or automation", so the two are different measurements, not a fall.

Compare like with like. The share of your people who use AI in their job sits beside IREM's 58%; whether your company runs AI at all sits beside Buildium's 33% or NARPM's 78%, whichever sample looks more like you.

Most of That AI Is a Chat Window, Not a Job Handed Over

In NAA's 2025 survey of 1,984 rental housing professionals, sponsored by AppFolio, general-purpose assistants such as ChatGPT and Gemini lead at 53%. AI built into the company's own property management software follows at 43%, and 6% use AI tools built for their own company. A quarter (24%) use no AI tool at all.²

Among fee managers at companies that use AI, the leading uses are writing marketing copy and listings (46%), answering leasing inquiries (32%), writing to owners (23%) and coordinating maintenance (21%). Half of them (51%) run AI tools that don't connect to each other; 22% have AI built into the core system they run the business on.³

Very few have handed AI a whole task. 7% use AI that completes a multistep task from start to finish,³ and in Buildium's May 2025 survey 8% of respondents had fully automated any workflow.¹⁰ Asked how they would add to their AI, 27% plan no major investment and 31% don't know which way they would go.³

A chat window helps one person write one email faster. It takes no job off the team: the work still waits for someone to open the window, paste the context and check what comes back.

Nine Percent Have Measured What AI Did for Them

NARPM's 2026 survey asked fee managers whether they had measured anything AI changed. 9% say they have measured a tangible, quantifiable outcome; 27% believe it helps but haven't measured it, 31% say it's too early, and 33% see no measurable impact.³

Asked what their own AI use has done for the owners they manage, 4% call the improvement significant, and the report itself notes that this is the manager's view, not the owner's.³

Reported gains are wider than financial ones. 85% of AI users in the IREM survey report a productivity gain, and 48% report a positive effect on NOI or profitability.¹¹ The most proficient users report better financial results than the least mature (67% against 15% positive on NOI),¹¹ which tells you who sees results, not what caused them.

Read vendor figures the same way. AppFolio's benchmark says firms that have broadly adopted AI expect to grow their portfolios by 31% in 2026, against 12% for firms that haven't started.⁸

That is a forecast, from a survey run by a company that sells AI to the people it asked, and the people who use AI already manage larger portfolios: 3,400 units on average against 2,000 for non-users in the 2025 IREM survey.⁶

I haven't found an independent measurement of hours saved by AI in property management. Until one exists, the only time-saved number worth a decision is the one taken in your own company, before and after.

Owners Want a Manager Who Uses AI, and Most Think They Could Use It Themselves

If you manage for owners, their view is the business risk in all of this. In NARPM's 2026 survey of 554 owners and investors whose rentals a professional manages, 64% prefer a management company that uses AI.³

Asked whether they would manage their properties themselves if AI tools could handle day-to-day operations, 79% said likely or very likely. Only 36% of the fee managers surveyed beside them think that shift likely.³

The report says this is not a churn forecast, and it is a hypothetical question. It still tells you what owners think they are paying a manager for: the routine work they expect software to take.

Owners are also more at ease with AI acting on its own than their managers are: 82% are comfortable with AI that carries out a task within set limits before a person reviews it, against 42% of fee managers.³ And 20% of fee managers say they tell owners in full which AI tools they use.³

For a fee manager, the AI that keeps clients is the AI that does a job an owner can see in the monthly statement, and you need to be able to say which job that is.

Two Thirds of the Week Goes to Paperwork and Fires, and Three in Ten Onsite Staff Leave

NAA's 2025 survey asked property management professionals how they split a typical week. Routine operational work such as paperwork, data entry and administration takes 42%, and reactive work such as troubleshooting and urgent requests takes 24%. Strategic work gets 16% and time with residents and owners 17%. Asked how they would like to spend it, they would cut routine work to 34% and raise strategic work to 26%.²

The same respondents mostly juggle systems while they do it: almost 60% log into three or more software tools on a typical day to manage their work.² And portfolios are growing faster than teams: in Buildium's May 2026 survey, 64% of property management companies plan to expand their portfolios next year, and 70% plan to keep their teams the same size.⁹

Turnover makes that week harder to staff. In RCLCO's 2025 compensation survey of real estate companies, published by NAA, onsite property-level employees turned over at 29.2% in a year, against 14.2% for corporate staff.

At companies of 151 to 450 employees, the gap is wider: 29.5% onsite against 11.7% in the office.¹ Voluntary onsite turnover rose to 23.4% from 21.7% the year before, and the top reasons for leaving were pay (27%) and no visible career path (24%).¹

These figures cover real estate companies across sectors, not property managers alone.

The occupation itself is growing. The Bureau of Labor Statistics counts 460,400 property, real estate and community association manager jobs in 2025, at a median wage of $69,990, and projects 4% growth to 2035 with about 36,900 openings a year, many of them opened by people who move to other occupations or retire.¹²

So the hours sit in routine written work, done by people who leave at nearly three in ten a year. When one of them goes, the way your company does that work goes too, unless it is written down where a new hire or an AI agent can follow it. If you are deciding which of those jobs to write down first, our real estate playbook ranks them.

Rental Application Fraud Reaches Nearly Every Large Operator

Applications are where routine document checks meet money. 93.3% of the large apartment operators in NMHC's survey had experienced fraud in the previous 12 months, and 70.7% said it was increasing. Of those who saw fraud, 84.3% had seen falsified pay stubs, employment references or other income documents.⁵

It lands in the books. On average, respondents traced 23.8% of their eviction filings and 24.5% of their bad debt to fraudulent applications and the unpaid rent that followed.⁵ The survey ran from November 2023 to January 2024 and covers 75 large owners, developers and managers, so read it as the shape of the problem rather than your rate.

A wider, later sample still finds it common: in AppFolio's fall 2025 survey, 56% of property managers faced application fraud in the past year, and 65% of them more than one kind.⁸ The two surveys ask different people about different kinds of fraud, so the gap between them is not a trend. In 2026, 93% of IREM's respondents say they worry about applicant documents made with AI.⁴

Fraud is also why an unchecked AI process is the wrong place to start. 86% of AI users in the IREM survey say they carefully review AI output before acting,⁴ and the application file is where that review is worth the most.

How Qvery Takes Application File Checks Off Your Leasing Team

We build one AI agent for one company's application file. It reads each application as it arrives in your property management system, checks the pay stubs, bank statements, ID and employment details against what the applicant wrote and against each other, and gives your leasing manager a short list of the files that don't match, each with the line that doesn't.

Your leasing manager decides on every applicant; the AI agent does the reading, on its own, at any hour.

To build it, we learn how your team checks a file today and where it has been fooled before, then connect the AI agent to the software you already run: the property management system, the screening provider, the shared inbox.

A first version reads real applications inside two weeks, and we train the people who work its list. Once it runs, we report two figures each week: the hours of document review it hands back to your leasing team, and the mismatched files it caught before a lease was signed.

If your leasing team still reads every pay stub by hand, that is the job to start with.

Count These Six Numbers in Your Own Company Before You Buy More AI

The figures above are only useful next to your own. Take these counts this month and set each beside the industry's:

Start with the second count. Ask three people in the office to note, for five working days, the time they spend on paperwork they could describe in one sentence. That total is the size of your first AI agent.