SOC 11-9141

Property, Real Estate, and Community Association Managers AI displacement risk

Tenant portals, AI leasing assistants, and maintenance ticketing automate the administrative half of property management. Buildings remain physical: inspections, vendor coordination, dispute resolution, and emergency response keep managers on-site.

Exposure50

Share and intensity of work current AI systems can materially affect.

Automation26%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandModerate

Leasing paperwork and rent collection automate readily; a burst pipe at 2 a.m. does not. Managers of large portfolios use automation to cover more units, which compresses staffing ratios but not the need for accountable operators.

Distribution

Where Property, Real Estate, and Community Association Managers sits across 620 tracked roles

Property, Real Estate, and Community Association Managers · 34050100

Displacement pressure 34 — higher than 56% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

26 O*NET task statements matched to SOC 11-9141. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $69,990 (May 2025, US national). The latest BLS row matched SOC 11-9141.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Property, Real Estate, and Community Association Managers

SOC 11-9141 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 34/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Property, Real Estate, and Community Association Managers

The current evidence import matched 26 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks26
SOC11-9141
  • Core task / ID 7224

    Manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential properties.

  • Core task / ID 7220

    Direct collection of monthly assessments, rental fees, and deposits and payment of insurance premiums, mortgage, taxes, and incurred operating expenses.

  • Core task / ID 7223

    Plan, schedule, and coordinate general maintenance, major repairs, and remodeling or construction projects for commercial or residential properties.

  • Core task / ID 7228

    Prepare detailed budgets and financial reports for properties.

  • Core task / ID 7236

    Act as liaisons between on-site managers or tenants and owners.

  • Core task / ID 7232

    Solicit and analyze bids from contractors for repairs, renovations, and maintenance.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

social

Coordinate maintenance and repairs

Exposure 34, automation 14%, augmentation 52%.

O*NET evidence: Plan, schedule, and coordinate general maintenance, major repairs, and remodeling or co... (ID 7223)

information

Prepare budgets and financial reports

Exposure 64, automation 36%, augmentation 68%.

O*NET evidence: Prepare detailed budgets and financial reports for properties. (ID 7228)

social

Resolve tenant complaints and violations

Exposure 26, automation 8%, augmentation 44%.

O*NET evidence: Investigate complaints, disturbances, and violations and resolve problems, following ma... (ID 7222)

physical

Inspect grounds and facilities

Exposure 22, automation 8%, augmentation 38%.

O*NET evidence: Inspect grounds, facilities, and equipment routinely to determine necessity of repairs ... (ID 7221)

TaskExposureAutomationAugmentation
Coordinate maintenance and repairs3414%52%
Prepare budgets and financial reports6436%68%
Resolve tenant complaints and violations268%44%
Inspect grounds and facilities228%38%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Regional Property Manager

Training horizon: 3-6 months. Skill overlap 78. Wage preservation signal 124.

  • Manage multi-property portfolios
  • Own occupancy metrics
  • Standardize vendor programs
Moderate
adjacent role

Facilities Manager

Training horizon: 3-6 months. Skill overlap 66. Wage preservation signal 116.

  • Learn building systems
  • Own preventive maintenance programs
  • Manage capital projects
Moderate

Comparison guides

Compare the next move before you commit

What the AI risk score means for Property, Real Estate, and Community Association Managers

The displacement pressure score for Property, Real Estate, and Community Association Managers is 34. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Prepare budgets and financial reports carries 36% automation pressure, while Prepare budgets and financial reports carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $69,990 (May 2025, US national). Employment context: Large property operations role with portal automation. Typical education: High school diploma to bachelor's; licensure varies by state.

Wage vulnerability is 44, while transition feasibility is 72. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Moderate displacement pressure
  • Portals absorb admin work
  • Physical operations anchor the role

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Property, Real Estate, and Community Association Managers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Property operations

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Vendor coordination

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Leasing compliance

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Budget management

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Regional Property Manager, such as manage multi-property portfolios.
  3. By 90 days, compare internal openings and external postings for Regional Property Manager or Facilities Manager and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Property, Real Estate, and Community Association Managers

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

Tenant portals, AI leasing assistants, and maintenance ticketing automate the administrative half of property management. Buildings remain physical: inspections, vendor coordination, dispute resolution, and emergency response keep managers on-site. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Property, Real Estate, and Community Association Managers work are most exposed to AI?

Prepare budgets and financial reports and Coordinate maintenance and repairs show the strongest automation pressure in this model. Prepare budgets and financial reports and Coordinate maintenance and repairs are better treated as AI-augmented work.

What should Property, Real Estate, and Community Association Managers learn next?

Start with Property operations, Vendor coordination, Leasing compliance. The most practical adjacent paths in this model are Regional Property Manager and Facilities Manager.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail