Property, Real Estate, and Community Association Managers
In short: today's best AI models could do about 40% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 42% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 58% of the time, stays with people.
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).
311,180 people do this job in the US. $69,990 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work16 h
- Desk work AI can't do yet1 h
- Stays with people23 h
Property, Real Estate, and Community Association Managers, now: of a 40-hour week, AI could take on 0 hours, 16 hours become checking its work, 1 hours are desk work it can't do yet, and 23 hours stay with people.
The largest pieces: Manage the property (about 3 h, a person checks); Direct rent collection and payments (about 3 h, a person checks); Get and compare contractor bids (about 3 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 34%
- 7%
- 27%
- 21%
- 10%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 40% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 14%. Today's estimate: 41%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 26 tasks showed up. Within each of Anthropic's methods, never across a change: 0.079% to 0.035% (released February and March 2025); 0.033% to 0.075% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.079% | 204 of 708 | 14 of 26 |
| Released March 2025 | 0.035% | 330 of 703 | 7 of 26 |
| The week of Aug 4, 2025 (released September 2025) | 0.033% | 294 of 655 | 8 of 26 |
| The week of Nov 13, 2025 (released January 2026) | 0.052% | 228 of 672 | 8 of 26 |
| The week of Feb 5, 2026 (released March 2026) | 0.075% | 199 of 677 | 10 of 26 |
| April 2026 (released June 2026) | none | n/a | 0 of 26 |
| May 2026 (released June 2026) | none | n/a | 0 of 26 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 9% of this job's working time as physical work. For 7% of the working time, a robot has been shown doing most of the task somewhere: 7% in a structured facility. 0.13 of 3, the 492nd highest of the 923 jobs.
- Not physical 91%
- No robot shown 2%
- In a structured facility 7%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
58% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Manage the property, the in-person work, 19%
- Direct staff and contractors, the in-person work, 9%
- Schedule maintenance and repairs, the conversation, 7%
- Inspect the property, the hands-on work, 4%
- Do light cleaning and repairs, the hands-on work, 3%
- Liaise between tenants and owners, the conversation, 3%
What becomes checking the machine
40% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it.
- Manage the property, costly if wrong, 8%
- Direct rent collection and payments, costly if wrong, 8%
- Get and compare contractor bids, costly if wrong, 7%
- Schedule maintenance and repairs, costly if wrong, 5%
- Prepare service contracts, costly if wrong, 3%
- Direct staff and contractors, costly if wrong, 2%
What to learn
- The conversations. About 49% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 34% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 26 tasks from .
| Task | ||||
|---|---|---|---|---|
| Manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential properties.On site, on the phone and on paper.Done daily by most who do it. AI observed on this task. | 27% | 3.3 h1.7 h to 6.7 h | In person 40%, documents 30%, conversation 30% | 30%Desk part half by now |
| Plan, schedule, and coordinate general maintenance, major repairs, and remodeling or construction projects for commercial or residential properties.Planning the work, calls with contractors, and a look on site.Done daily by most who do it. | 12% | 2.5 h1.3 h to 1 work day | Documents 40%, conversation 40%, hands-on 20% | 39%Desk part half by now |
| Direct and coordinate the activities of staff and contract personnel and evaluate their performance.On site with the staff and contractors, with the reviews.Done daily by most who do it. | 11% | 1.7 h50 min to 3.3 h | In person 60%, documents 20%, conversation 20% | 20%Desk part half by now |
| Solicit and analyze bids from contractors for repairs, renovations, and maintenance.Bids requested and compared on paper.Done more than yearly by most who do it. | 10% | 3.3 h1.7 h to 6.7 h | Documents 70%, conversation 30% | 70%Desk part half by now |
| Direct collection of monthly assessments, rental fees, and deposits and payment of insurance premiums, mortgage, taxes, and incurred operating expenses.Overseeing the receipts and payments in the system.Done more than monthly by most who do it. | 8% | 2.5 h50 min to 6.7 h | Systems 60%, documents 40% | 96%Half by now |
| Inspect grounds, facilities, and equipment routinely to determine necessity of repairs or maintenance.Walking the grounds and the building.Done daily by most who do it. Robots: in a structured facility, Ascento Guard 2.0 (deployed). Anthropic's rating. | 4% | 1.7 h38 min to 4.2 h | Hands-on 100% | Stays with people |
| Act as liaisons between on-site managers or tenants and owners.Calls and emails back and forth.Done more than monthly by most who do it. | 4% | 50 min25 min to 1.7 h | Conversation 80%, documents 20% | 20%Desk part half by now |
| Investigate complaints, disturbances, and violations and resolve problems, following management rules and regulations.Looking into it on site, calls with those involved, and the notices written.Done daily by most who do it. | 4% | 1.3 h25 min to 3.3 h | In person 50%, conversation 30%, documents 20% | 20%Desk part half by now |
| Clean common areas, change light bulbs, and make minor property repairs.Small jobs around the property by hand.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 50 min25 min to 1.7 h | Hands-on 100% | Stays with people |
| Prepare and administer contracts for provision of property services, such as cleaning, maintenance, and security services.Contracts drafted and managed.Done more than yearly by most who do it. | 3% | 3.3 h1.7 h to 6.7 h | Documents 80%, conversation 20% | 80%Desk part half by now |
| Prepare detailed budgets and financial reports for properties.Budgets and reports at the desk.Done more than yearly by most who do it. | 2% | 6.7 h3.3 h to 2.5 work days | Documents 100% | 80%Half by now |
| Confer regularly with community association members to ensure their needs are being met.Meetings and calls with members.Done more than monthly by most who do it. | 2% | 1.7 h25 min to 3.3 h | In person 60%, conversation 40% | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Real Estate Sales Agents40% now, 41% by 2028
- Real Estate Brokers44% now, 45% by 2028
- Facilities Managers39% now, 56% by 2028
- Appraisers and Assessors of Real Estate79% now, 84% by 2028
- Purchasing Agents, Except Wholesale, Retail, and Farm Products65% now, 79% by 2028
- General and Operations Managers45% now, 53% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Property, Real Estate, and Community Association Managers is within reach of AI now?
- An estimated 41% of the working time is within reach of AI models now and 42% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Property, Real Estate, and Community Association Managers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Manage the property (30% of the task's time now); Direct rent collection and payments (96% of the task's time now); and Get and compare contractor bids (70% of the task's time now).
- Which tasks of Property, Real Estate, and Community Association Managers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Inspect the property; Do light cleaning and repairs; and Confer with association members. Together such tasks are about 10% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Property, Real Estate, and Community Association Managers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are the conversations; reviewing work you did not do yourself; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 58% of the working time stays with people, 40% becomes checking a model's work and 0% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Property, Real Estate, and Community Association Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 17%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Property, Real Estate, and Community Association Managers?
- Anthropic's robot exposure rating (September 2026) finds 9% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 7% of the working time, 7% in a structured facility. Its index is 0.13 of 3. One example: Ascento Guard 2.0 for "inspect the property". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 26 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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