← Risk register SOC 11-9141 · reviewed 2026-08-11

Property, Real Estate, and Community Association Managers

311,180 US workers · median $69,990/yr · Management

EXPOSED

The back office of this job — rent ledgers, lease renewals, delinquency notices, vendor invoices, monthly owner reports, HOA violation letters — is exactly the text-and-form work software plus AI now handles cheaply, and PropTech platforms are already absorbing it. What holds is the physical and political half: walking units and common areas, judging whether a roof bid is honest, handling an angry resident at 9pm, running a contentious board meeting, and signing off on decisions an owner can sue over. Most states require a real estate broker license or a state property-manager/CAM credential to collect rent and manage for others, which keeps a licensed human on the contract even as their clerical load thins.

10-year outlook: Headcount per door falls sharply as leasing and accounting automate, but licensed managers who own inspections, vendor spend, and board-level judgment will manage larger portfolios for similar or better pay.

US employment, 2019–2025+41.0%
220,750311,180 workers

Headcount grew steadily across the period.

Median pay $58,760 → $69,990 -4.7% in real terms (nominal +19.1%, less ~25% US inflation over the period)

The job count is not the verdict

This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.

So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.

BLS projection, 2024–2034

+3.6%

Percentage only. The projection counts a different population from the 311,180 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.

Growing, and only partly exposed

The BLS expects +3.6% more of these jobs by 2034, and at 56/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.

Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.

~39,000 openings a year on average, including replacing people who leave.

One email if this score changes. Watch as many occupations as you like from the same address — no account, and nothing is sent on a schedule, only when a verdict actually moves.

Also known as — 24 job titles this covers

Titles reported by people doing this work, from the US Department of Labor's O*NET survey. If your job title is here, this page is about your work even though the name doesn't match.

LeaserLandmanLandladyLandlordLease BuyerMall ManagerMarket MasterLease OperatorMarket ManagerRental ManagerHousing ManagerLeasing ManagerOil Lease BuyerOn-Site ManagerCemetery ManagerDistrict ManagerFacility ManagerHousing DirectorProperty ManagerResident ManagerApartment ManagerCommunity ManagerLand CommissionerTerritory Manager

Score — 56/100 resistance

Holding it up: embodiment (12/20). Weakest point: task resistance (9/20).

Five dimensions, 0–20 each, summed. Higher means more protected. The arithmetic is shown so you can check it: 9 + 12 + 11 + 12 + 12 = 56. · Scored 2026-08-11, and re-examined when evidence accumulates rather than on a schedule.

Task resistance 9/20

Mixed — a routine tier and a judgment tier Rent collection, lease renewal packets, delinquency and violation notices, vendor invoice coding, and monthly owner statements are already running through AppFolio, Yardi, and Buildium with AI drafting the correspondence, which is why this sits at 9 rather than 13 — the surviving non-digitisable core is a shorter list than it looks: unit turn inspections, walking common areas after a storm, evaluating a $60k roof bid, and standing in front of an angry board.

Embodiment 12/20

Some physical or field component A 12 reflects that the site work is real but scheduled and mostly indoors — inspecting vacant units before turnover, checking that the landscaper actually cut, meeting the plumber at a burst riser, showing units to prospects — you are not on a roof with a harness or in a crawlspace running conduit, which is what separates this from the 15+ trades who do the repair you authorize.

Liability shield 11/20

Licensed human required and personally liable Most states require you to hold or work under an active real estate broker license to collect rent or lease for a third party (California BRE, Florida FREC, Texas TREC), several add a separate CAM credential for association work (Florida Ch. 468 Part VIII), and you personally hold trust-account and security-deposit obligations under state landlord-tenant law — but the license attaches to the brokerage as much as to you, and unlicensed on-site managers of the owner's own property are a common carve-out, which caps this at 11.

Trust premium 12/20

Some relationship component Owners and boards renew because you know that the 1970s boiler needs a mid-winter watch and which of two vendors actually shows up, and a self-managed HOA board hires you specifically to absorb neighbor conflict — but the door swings on portfolio performance and management fee, and portfolios change hands with buildings, so the relationship is a retention factor rather than the product itself.

Judgment & accountability 12/20

Meaningful discretion You decide who gets evicted, which delinquency to work out versus refer to counsel, whether a reserve study justifies a special assessment, and when a fair-housing-sensitive accommodation request is reasonable — real discretion with legal exposure, but the ceiling is that the owner or board votes the capital budget and outside counsel takes the hard eviction and covenant-enforcement calls, so you rarely own the ambiguous decision alone.

Scored twice. An independent second run returned 55/100 — EXPOSED, agreeing with the verdict above.

Confidence: high · reviewed 2026-08-11 · how scoring works

What this job involves — and which parts are yours

The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.

AI already does these at usable quality

These still need a person

Active moats on the surviving side: embodiment, licensure, trust

How to future-proof this job

Training paths for your skill gaps: edX — systems thinking and evaluation methods free to audit · MIT OpenCourseWare — systems analysis and engineering free · Coursera — decision making under uncertainty free to audit · MIT OpenCourseWare — problem-solving and analytical method courses free

All 35 skills ranked by how many jobs they open →

Where this experience transfers — occupations you could move toward

Computed from U.S. Dept. of Labor O*NET skill and knowledge profiles: high overlap with what you already do, a materially higher resistance score, no large jump in required training, and no licence you would have to start a new pipeline to get. Targets that pay meaningfully less, that are themselves COOKED, or whose own headcount is falling are excluded — a move into a shrinking trade is not an escape.

Chief Executives SAFE · 69/100 · you already have ~63% of the skill profile

Skills to close: Systems Evaluation, Systems Analysis, Judgment and Decision Making, Complex Problem Solving

What would move this back up — beyond any one person

The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 75/100 — SAFE.

6 specific changes that would raise this score
  • already happening judgment accountability +4

    Task-mix shift is real here: the job genuinely has a clerical tier (ledgers, notices, owner reports) and a judgment tier (capital-project bid evaluation, special-assessment votes, eviction vs. workout calls, litigation and insurance-claim decisions). If PropTech absorbs the first tier while portfolios per manager grow, what remains is almost entirely consequential calls under ambiguity

  • already happening liability shield +3

    Fair-housing exposure attaching to automated screening: HUD's 2024 guidance on tenant screening algorithms plus suits like Louis v. SafeRent pushing E&O carriers and lenders to require a named licensed manager to review and document any adverse-action or eviction decision produced by software

  • already happening trust premium +3

    Post-Surfside structural-integrity and reserve-funding statutes (FL SB 4-D milestone inspections, similar bills in NJ/MD) making boards and their D&O insurers insist on a named credentialed manager — CMCA/AMS/PCAM — present at meetings and inspections rather than a platform-managed portfolio; renewal-driven, not fashion-driven, so it holds

  • plausible liability shield +4

    States that currently exempt on-site/community managers from licensing closing the exemption — e.g. Florida already requires a CAM license for associations over 10 units and DBPR disciplinary orders name the licensee personally; a comparable statutory CAM/manager license in states like Texas or Georgia, plus a rule that reserve studies, assessment increases, and violation enforcement letters must be signed by the licensed manager or broker of record, would make an identifiable human personally sanctionable for AI-generated output

  • plausible task resistance +3

    Same task-mix mechanism raising the residual: insurance-market conditions in FL/CA/CO forcing managers into repeated non-routine work — reserve shortfall negotiation, claim adjudication, lender-eligibility (Fannie Mae condo blacklist) remediation — that has no standard template for a model to fill

  • plausible embodiment +2

    Milestone/structural inspection regimes and local rental-inspection ordinances mandating documented in-person walkthroughs at fixed intervals by a responsible party, not a contractor photo upload

The limit. Ceiling is modest. The trust premium is paid by boards and institutional owners under insurance and lender pressure, not by tenants, and institutional owners are the same buyers actively funding the automation of the clerical tier — so headcount can fall even as the surviving role's scores rise. Licensing here gates who may collect rent, not who may exercise judgment, which limits how much a liability shield can carry.

These are conditions, not forecasts — what would have to happen, not what will. Specific rules, cases and bills are named so you can go and check whether they exist and where they stand; verify before relying on any of them. Nothing here is legal or financial advice.

Where this work is, and what it pays there

BLS metro figures for 360 areas. The verdict above does not change by city — the rubric judges what the work involves, not where it happens — but pay and headcount do, and the national median hides a very wide range.

Most of these jobs

Los Angeles-Long Beach-Anaheim, CA 19,780 $77,230 +10%
Dallas-Fort Worth-Arlington, TX 15,890 $62,920 -10%
New York-Newark-Jersey City, NY-NJ 14,250 $96,950 +39%
Miami-Fort Lauderdale-West Palm Beach, FL 10,490 $73,450 +5%
Houston-Pasadena-The Woodlands, TX 9,530 $72,950 +4%
Chicago-Naperville-Elgin, IL-IN 9,300 $77,980 +11%
Phoenix-Mesa-Chandler, AZ 7,670 $64,290 -8%
San Francisco-Oakland-Fremont, CA 7,660 $82,540 +18%

Best paid

Spokane-Spokane Valley, WA 160 $128,710 +84%
Bremerton-Silverdale-Port Orchard, WA 50 $127,630 +82%
Kennewick-Richland, WA 60 $123,990 +77%

Percentages are against this occupation's national median of $69,990. Counts are jobs in that metro, not vacancies. Metros where the BLS suppressed the cell are absent rather than shown as zero.

Who is actually doing this — nobody, on the record

We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.

That is worth saying out loud next to a score of 56. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.

Read that as a gap in the reporting we can see, not proof of absence — the dispatch runs on English-language feeds and misses plenty. If you know of a case, tell us, or add a field report from inside the job.

Quick take — do you do this job?

Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.

Self-reported and unverified — a sentiment signal, not a survey. One response per person per occupation; you can change your answer.

Field reports — what people say has changed

No field reports yet. A written account takes a paragraph rather than a tap, goes to an editor before it appears, and is the one thing on this page the rubric cannot produce on its own.

File a field report

Concrete beats general: a tool that arrived, a task that moved, a headcount decision you watched happen. Don't include anything that identifies you or your employer if that would put you at risk.

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