Will AI replace Property, Real Estate, and Community Association Managers?

Not as a job, but it is already doing parts of the work. Across the 27 official task statements scored for Property, Real Estate, and Community Association Managers (United States, SOC 11-9141), 33% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 40 out of 100 (range 35–46, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.

What should someone working in “Property, Real Estate, and Community Association Managers” do about AI?

Start from the ledger rather than the headline: 33% of this job's weighted core work is exposed, and roughly 57% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.

How is the AI exposure score for Property, Real Estate, and Community Association Managers calculated?

Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 27 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

US dataswitch to UK

Property, Real Estate, and Community Association Managers

preparing detailed budgets and financial reports for properties, cleaning common areas and acting as liaisons between on-site managers or tenants and owners. If that's your week, this page is about your job.

The honest answer

AI is already taking a real slice of the routine work here: preparing detailed budgets and financial reports for properties. That is a slice of tasks, not of you.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 33%
changing shape: 10%
staying human: 57%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 40 out of 100 (35–46 allowing for uncertainty): partial exposure, across 27 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.

How we know this

What is measured: Every published task statement for property, real estate, and community association managers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

That slice is not coming back; the core of the job, inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance, stays yours. The tools change hands, the accountability doesn't.

Your week, as this page understands it

Plan, direct, or coordinate the selling, buying, leasing, or governance activities of commercial, industrial, or residential real estate properties. Includes managers of homeowner and condominium associations, rented or leased housing units, buildings, or land (including rights-of-way). The job title says “property”, “real estate” or “community association managers”: officially one job, several names. The real job is the part underneath: inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance. That is the thing someone has to be right about.

The exposed part of this job is specific, and we won’t pretend it is coming back. But property, real estate, and community association managers is not one task. It is 27 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 33%
changing shape: 10%
staying human: 57%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.

Release: 2026-q4.1, scores computed 2026-08-04. Read the full method.

Your job, task by task

These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.

4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Shifting to AI

8 tasks

Tasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.

Preparing detailed budgets and financial reports for properties
This is reading one thing and writing another: detailed budgets in, a record out. That is the shape today's tools are built for.
importance 5 · Core
Source: “Prepare detailed budgets and financial reports for properties.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Building budgets and financial reports from accounting records is standard finance work software produces to a usable standard.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Directing collection of monthly assessments
This is reading one thing and writing another: collection of monthly assessments in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Direct collection of monthly assessments, rental fees, and deposits and payment of insurance premiums, mortgage, taxes, and incurred operating expenses.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Collecting rent and assessments and paying bills on time is routine finance administration already handled by property software.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Preparing and administering contracts for provision of property services
This is reading one thing and writing another: contracts in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Prepare and administer contracts for provision of property services, such as cleaning, maintenance, and security services.” (O*NET task statement)
How this row was scored
Exposure score: 66 out of 100 (59–73 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Service contracts follow standard templates, so drafting and administering them is routine document work with a manager approving.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Soliciting and analyzing bids from contractors
This is reading one thing and writing another: bids in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Solicit and analyze bids from contractors for repairs, renovations, and maintenance.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing contractor bids on price, scope and terms is structured comparison work software does thoroughly.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Changing shape

3 tasks

Tasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.

Maintaining contact with insurance carriers
The software now makes the first pass at contact, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Maintain contact with insurance carriers, fire and police departments, and other agencies to ensure protection and compliance with codes and regulations.” (O*NET task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Codes and insurance requirements are published, so tracking compliance and the related correspondence is largely document work.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Purchasing building and maintenance supplies
The software now makes the first pass at maintenance supplies, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 3 · Core
Source: “Purchase building and maintenance supplies, equipment, or furniture.” (O*NET task statement)
How this row was scored
Exposure score: 56 out of 100 (49–63 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Ordering supplies and equipment from usage and price data is routine purchasing that software handles.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Determining and certifying the eligibility of prospective tenants
The software now makes the first pass at the eligibility of prospective tenants, but someone has to be answerable for the result, and it cannot be the software. So the job becomes checking and deciding rather than producing.
importance 4 · Supplemental
Source: “Determine and certify the eligibility of prospective tenants, following government regulations.” (O*NET task statement)
How this row was scored
Exposure score: 42 out of 100 (35–49 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Tenant checks follow written government rules, but certifying the result rests with an accountable person.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 2/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.

Staying human

16 tasks

Tasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.

Managing and overseeing operations, maintenance, administration and improvement of commercial, industrial or residential properties
This work happens in the physical world: operations, maintenance, administration and improvement of commercial, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential properties.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Overseeing a property mixes desk administration with being on site to see how the building is actually running.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Directing and coordinating the activities of staff and contract personnel and evaluating their performance
The value here is that a specific person handles the activities of staff and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Direct and coordinate the activities of staff and contract personnel and evaluate their performance.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Work schedules are easy to produce, but directing staff and judging contractors' performance depends on daily working relationships.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Meeting with clients to negotiate management and service contracts
The value here is that a specific person handles clients and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Meet with clients to negotiate management and service contracts, determine priorities, and discuss the financial and operational status of properties.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (20–28 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: A contract can be drafted, but winning and keeping a management client rests on the owner's trust in a particular person.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.

Show the other 17 tasks

Reviewing rents to ensure that they are in line with rental markets
shifting to AI
This is reading one thing and writing another: rents in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Review rents to ensure that they are in line with rental markets.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Comparing rents against the local market is a data comparison with plentiful published listings to work from.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Analyzing information on property values
shifting to AI
This is reading one thing and writing another: information in, a record out. That is the shape today's tools are built for.
importance 4 · Supplemental
Source: “Analyze information on property values, taxes, zoning, population growth, and traffic volume and patterns to determine if properties should be acquired.” (O*NET task statement)
How this row was scored
Exposure score: 83 out of 100 (79–87 allowing for uncertainty): very high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Property values, taxes, zoning and traffic figures are largely published data, and analysing them is standard research work.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.
Maintaining records of sales, rental or usage activity, special permits
shifting to AI
This is reading one thing and writing another: records of sales, rental or usage activity in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Maintain records of sales, rental or usage activity, special permits issued, maintenance and operating costs, or property availability.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (71–79 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Rental activity, costs and availability records are structured data, and keeping them is routine record-keeping.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Marketing vacant space to prospective tenants through leasing agents
shifting to AI
This is reading one thing and writing another: vacant space in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Market vacant space to prospective tenants through leasing agents, advertising, or other methods.” (O*NET task statement)
How this row was scored
Exposure score: 64 out of 100 (60–68 allowing for uncertainty): high exposure, high confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Writing listings and marketing copy for vacant space is standard promotional writing that software produces well.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Conferring with legal authorities to ensure that renting and advertising practices are not discriminatory and that properties comply with state and federal regulations
staying human
The rules require a named, qualified person to answer for legal authorities, and that person cannot be a piece of software.
importance 4 · Core
Source: “Confer with legal authorities to ensure that renting and advertising practices are not discriminatory and that properties comply with state and federal regulations.” (O*NET task statement)
How this row was scored
Exposure score: 37 out of 100 (30–44 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: Fair housing and advertising rules are published, but confirming a specific practice is lawful calls for a qualified adviser.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning, scheduling and coordinating general maintenance, major repairs and remodeling or construction projects for commercial or residential properties
staying human
This work happens in the physical world: general maintenance, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Plan, schedule, and coordinate general maintenance, major repairs, and remodeling or construction projects for commercial or residential properties.” (O*NET task statement)
How this row was scored
Exposure score: 32 out of 100 (25–39 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Schedules and project plans are easy to produce, but coordinating repairs and building work means being at the property.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Contracting with architectural firms to draw up detailed plans for new structures
staying human
The value here is that a specific person handles architectural firms and stands behind it. That is earned, not computed.
importance 4 · Supplemental
Source: “Contract with architectural firms to draw up detailed plans for new structures.” (O*NET task statement)
How this row was scored
Exposure score: 31 out of 100 (24–38 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: A brief can be written easily, but choosing and engaging an architectural firm rests on judgement about a specific practice.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 2/4.
Acting as liaisons between on-site managers or tenants and owners
staying human
The value here is that a specific person handles liaisons and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Act as liaisons between on-site managers or tenants and owners.” (O*NET task statement)
How this row was scored
Exposure score: 28 out of 100 (24–32 allowing for uncertainty): low exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Standing between owners and tenants works because both sides trust the same person to represent them fairly.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Negotiating the sale, lease or development of property and completing or reviewing appropriate documents and forms
staying human
The rules require a named, qualified person to answer for the sale, and that person cannot be a piece of software.
importance 4 · Supplemental
Source: “Negotiate the sale, lease, or development of property and complete or review appropriate documents and forms.” (O*NET task statement)
How this row was scored
Exposure score: 24 out of 100 (17–31 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Documents can be drafted, but negotiating a sale or lease depends on trust between people and often needs a licensed agent.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 3/4.
Negotiating short- and long-term loans to finance construction and ownership of structures
staying human
The rules require a named, qualified person to answer for short-, and that person cannot be a piece of software.
importance 3 · Supplemental
Source: “Negotiate short- and long-term loans to finance construction and ownership of structures.” (O*NET task statement)
How this row was scored
Exposure score: 21 out of 100 (14–28 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: someone qualified has to answer for it; the value is that a specific person does it.
The rating behind it: Loan paperwork is standard, but negotiating terms depends on a lender's confidence in the borrower and whoever represents them.
The five ratings: output a model can produce 2/4 · needs a body in a room 0/4 · needs an accountable person 2/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Investigating complaints, disturbances and violations and resolving problems, following management rules and regulations
staying human
This work happens in the physical world: complaints, disturbances and violations and resolving problems, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Investigate complaints, disturbances, and violations and resolve problems, following management rules and regulations.” (O*NET task statement)
How this row was scored
Exposure score: 20 out of 100 (13–27 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Rules can be looked up, but investigating a disturbance and calming the people involved happens at the property.
The five ratings: output a model can produce 2/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Meeting with boards of directors and committees to discuss and resolve legal and environmental issues or disputes between neighbors
staying human
The value here is that a specific person handles boards of directors and stands behind it. That is earned, not computed.
importance 4 · Core
Source: “Meet with boards of directors and committees to discuss and resolve legal and environmental issues or disputes between neighbors.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (9–17 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Board meetings about disputes and legal issues turn on reading the room and holding the confidence of the people there.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Meeting with prospective tenants to show properties
staying human
This work happens in the physical world: prospective tenants, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Meet with prospective tenants to show properties, explain terms of occupancy, and provide information about local areas.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (3–17 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Details about a property and area are easy to supply, but showing someone round means walking the building with them.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Negotiating with government leaders, businesses
staying human
The value here is that a specific person handles government leaders, businesses and stands behind it. That is earned, not computed.
importance 3 · Supplemental
Source: “Negotiate with government leaders, businesses, special interest representatives, and utility companies to gain support for new projects and to eliminate potential obstacles.” (O*NET task statement)
How this row was scored
Exposure score: 10 out of 100 (6–14 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: the value is that a specific person does it.
The rating behind it: Winning support from officials, utilities and interest groups depends on relationships and negotiation with specific people.
The five ratings: output a model can produce 1/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 1/4.
Conferring regularly with community association members to ensure their needs are being met
staying human
This work happens in the physical world: community association members, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Confer regularly with community association members to ensure their needs are being met.” (O*NET task statement)
How this row was scored
Exposure score: 9 out of 100 (5–13 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Regular contact with residents' groups depends on people who are known and trusted locally.
The five ratings: output a model can produce 1/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 3/4 · how much data exists 2/4.
Inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance
staying human
This work happens in the physical world: grounds, facilities and equipment, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Inspect grounds, facilities, and equipment routinely to determine necessity of repairs or maintenance.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Walking the grounds and spotting what needs repairing means eyes on the building.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Cleaning common areas, change light bulbs and making minor property repairs
staying human
This work happens in the physical world: common areas, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Clean common areas, change light bulbs, and make minor property repairs.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cleaning, changing bulbs and small repairs is hands-on work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.

What this job pays, and how many people do it

Median pay: $69,990a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
People doing this job: 311,180in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)

What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.

Why this is shifting

The reason is boringly specific. Most of what is shifting here is reading one thing and writing another: detailed budgets in, a record out. The rows above are exactly that shape: preparing detailed budgets and financial reports for properties and directing collection of monthly assessments. What it cannot do is be there in the room, and that is still where grounds, facilities and equipment get done. Which is why this page talks about your tasks changing, not your job ending.

Your move

Over a pint: what I’d tell you if you were my friend

Your week is splitting in two, and which half fills it is the whole question. Preparing detailed budgets and financial reports for properties is going; inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance is not.

So, given all that: 33% of this job's task weight sits in rows the software is already learning, 10% in rows that change shape rather than disappear, and 57% in rows it is nowhere near. That is the position, measured across 27 scored tasks. It is not a forecast about you.

The occupation is an average and you are not, so the first job below is finding out where your own week actually sits.

This week: one thing

Print the task ledger above and put your own hours next to each row. Roughly, in pen, in one sitting. Then look at which group your hours actually pile up in. Twenty minutes, this week.

What you end up holding: your own week, on one page, sorted into what is shifting and what is not
How long it takes: about twenty minutes

If printing it isn’t practical: Read the rows off this page and write the same list on the back of an envelope. Same twenty minutes, same page, and it works just as well said out loud to someone who knows the job. The point is your hours next to the rows, not the paper it is on.

Over the next 90 days

Volunteer toward the durable end, visibly. Over the next ninety days put your hand up for the work in the bottom group (inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance) and let people see you doing it. Not a new project: the same job, with your mix deliberately tilted. The point is that when the rota or the reorganisation comes, the version of you people picture is the one doing the part that stays.

Over the next 12 months

Claim a specialism at the durable end and let the other end go. Over a year, deliberately become the person who handles inspecting grounds, facilities and equipment routinely to determine necessity of repairs or maintenance, and deliberately stop being the first choice for the rows in the top group. That trade costs something, because the exposed work is often the comfortable work. Decide it on purpose rather than by drift. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.

The roads out of here, and why I am not sending you down them

I looked at the obvious moves out of this job, and here is what I found.

I checked the 12 nearest US occupations to property, real estate, and community association managers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was first-line supervisors of personal service workers: only about 4% of its durable work is work you already do and it pays 30.6% less. Your own job splits about 33/67: that share of the list sits in the top exposure band and the rest does not. On this evidence the honest move is inside the job rather than out of it. Become the person who owns “manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or…”, and let the exposed end go.

How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.

3 moves I checked and rejected

These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.

First-Line Supervisors of Personal Service Workers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already investigate complaints, disturbances, and violations and resolve problems, following management rules and regulations, and their equivalent is to investigate employee complaints and resolve problems following management rules and regulations. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $48,590 against your $69,990, 30.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Real Estate Sales Agents
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential…, and their equivalent is to display commercial, industrial, agricultural, and residential properties to clients and explain their features. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $52,830 against your $69,990, 24.5% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Real Estate Brokers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already review rents to ensure that they are in line with rental markets, and their equivalent is to rent properties or manage rental properties. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 46,100 of those jobs against 311,180 of yours (OEWS May 2025), 15% as many seats.
Look at that job’s page anyway →

What I’d stop worrying about

A friend tells you what not to spend fear on. This is that list.

The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 33% of its task weight, across 27 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The whole-job doom story
Nothing on this page says this job ends. It says the mix inside it moves. Half the rows above are unchanged or changing shape, and the plan is about which half your week sits in. That is a very different problem, and a solvable one.
Panic-buying a course
Do the twenty-minute sorting exercise first. Most people who buy a course before they have done it buy the wrong one, and the free services listed below will tell you the same thing without charging for it.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.

If you run a team doing this job

If you run a team doing this job, the conversation you owe them is the one on this page, and sooner than feels comfortable. Show them the ledger rather than a reassurance: the rows moving toward the software are preparing detailed budgets and financial reports for properties, and the rows that are not are where you want your people visible. Ask each of them to do the this-week move and bring the list to your next one-to-one. It turns a rumour into a piece of work, and it tells you which parts of your team's week are actually at stake. And say the thing out loud that a team lead usually leaves unsaid: a shrinking team is your exposure too, so do the move yourself as well.

You are reading the United States figures

The United Kingdom splits this work across more than one official group, of which Estate agents and auctioneers is the closest. The pay and employment figures are not directly comparable, and we do not average them together.

Switch to the United Kingdom page →partial match

The other groups this work is counted across:

Property, housing and estate managers

In UK official statistics this job is counted as Estate agents and auctioneers and Property, housing and estate managers. Pay is shown separately for each of those groups (medians cannot be averaged together), while the task list and the scores on this page are for this group only.

Your route through this

Where to go next, and what it costs

Free, and complete

The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.

Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
Free

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for property / real estate / community association managers, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 33% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for property / real estate / community association managers. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for property / real estate / community association managers launches. Nothing else.

That did not look like an email address, so nothing was saved. Have another go below.

We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.

No Space for property / real estate / community association managers yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

Collab365 launches new communities where the need is real. If one for property / real estate / community association managers existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for property / real estate / community association managers launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.

Questions people ask about this job

Will AI replace Property, Real Estate, and Community Association Managers?: Not as a job, but it is already doing parts of the work. Across the 27 official task statements scored for Property, Real Estate, and Community Association Managers (United States, SOC 11-9141), 33% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 40 out of 100 (range 35–46, band: partial). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
Which tasks in “Property, Real Estate, and Community Association Managers” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Review rents to ensure that they are in line with rental markets” (83/100, very high); “Analyze information on property values, taxes, zoning, population growth, and traffic volume and patterns to determine if properties should be acquired” (83/100, very high); “Direct collection of monthly assessments, rental fees, and deposits and payment of insurance premiums, mortgage, taxes, and incurred operating expenses” (75/100, high). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
Which tasks in “Property, Real Estate, and Community Association Managers” stay human?: About 57% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Clean common areas, change light bulbs, and make minor property repairs” (0/100, minimal); “Inspect grounds, facilities, and equipment routinely to determine necessity of repairs or maintenance” (8/100, minimal); “Confer regularly with community association members to ensure their needs are being met” (9/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
What should someone working in “Property, Real Estate, and Community Association Managers” do about AI?: Start from the ledger rather than the headline: 33% of this job's weighted core work is exposed, and roughly 57% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
How is the AI exposure score for Property, Real Estate, and Community Association Managers calculated?: Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 27 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.

Where these numbers come from

Worth knowing about these figures

The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
4 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.

Task statements: onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
Task weights: onet-db (im-rt)
Scores: Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-04.
Pay and employment: bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))

Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.

The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.

The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.

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Using these figures?

Cite this

Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.

Plain text

Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).

BibTeX

@misc{collab365futureproof2026q41,
  title        = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
  author       = {{Collab365}},
  year         = {2026},
  url          = {https://futureproof.collab365.com/data/2026-q4.1},
  note         = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.