Medium AI Risk Average

Property, real estate, and community association managers

SOC Code: 11-9141

Property, real estate, and community association managers carries a 37% AI exposure score (Medium automation risk), with a median annual wage of $66,700 and +3.6% projected employment growth from 2024 to 2034 (BLS), affecting approximately 466,100 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
37% Medium
Typical exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+3.6%
Typical growth
2024–2034 (BLS)
+17,000 jobs
Median Annual Wage
$66,700
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 37% AI exposure, Property, real estate, and community association managers sits 0 points above the 37.2% average across 832 U.S. occupations - more exposed than 59% of them. Most of its core tasks still require human judgment.

37%
AI exposure
Top 41%
most exposed
+3.6%
Job growth 2024–34
$66,700
Median wage
C

Career outlook score

56/100

Property, real estate, and community association managers, weighted across 3 of 3 tracked dimensions

Transparent derived index from BLS and O*NET data, not an official government rating. A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes. See the exact dimensions, weights, and formula.

  • Median wage C+ $66,700

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth C+ +3.6%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) D 37% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Property, real estate, and community association managers in the Medium band.

Credential × growth standing

Open entry with non-declining BLS pace

Property, real estate, and community association managers keeps an HS / some college bar (333 of 832) and sits in Average (378 of 832). Lower formal gates with a non-shrinking employment line - skill and AI desks matter more than credentials here.

Where Property, real estate, and community association managers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Property, real estate, and community association managers sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

37% Around the middle lower than 41% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Property, real estate, and community association managers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Property, real estate, and community association managers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk25.4%39.9%54.5%69.1%83.7%-2.5%4.2%11.0%17.7%24.4%AI exposure (%) →Projected growth (%) →General and operations managers, AI exposure (%) →: 37% · Projected growth (%) →: 4.4%GeneralManagers, all other, AI exposure (%) →: 39% · Projected growth (%) →: 4.5%ManagersFinancial managers, AI exposure (%) →: 81% · Projected growth (%) →: 14.8%Financial managersFarmers, ranchers, and other agricultural managers, AI exposure (%) →: 28% · Projected growth (%) →: -1.3%FarmersComputer and information systems managers, AI exposure (%) →: 38% · Projected growth (%) →: 15.2%ComputerSales managers, AI exposure (%) →: 48% · Projected growth (%) →: 4.7%Sales managersMedical and health services managers, AI exposure (%) →: 41% · Projected growth (%) →: 23.2%MedicalConstruction managers, AI exposure (%) →: 29% · Projected growth (%) →: 8.7%Construction managerProperty, real estate, and community association managers, AI exposure (%) →: 37% · Projected growth (%) →: 3.6%PropertyMarketing managers, AI exposure (%) →: 35% · Projected growth (%) →: 6.6%Marketing managersFood service managers, AI exposure (%) →: 43% · Projected growth (%) →: 6.4%Food service manager

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

466,100
Employment 2024
483,100
Projected 2034
+3.6%
Change (%)
+17,000
Change (jobs)

Where This Score Comes From

Property, real estate, and community association managers's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 11-9141) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Property, real estate, and community association managers be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Property, real estate, and community association managers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
Less than 5 years
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Prepare detailed budgets and financial reports for properties.
  2. 2. Manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential properties.
  3. 3. Plan, schedule, and coordinate general maintenance, major repairs, and remodeling or construction projects for commercial or residential properties.
  4. 4. Review rents to ensure that they are in line with rental markets.
  5. 5. Direct collection of monthly assessments, rental fees, and deposits and payment of insurance premiums, mortgage, taxes, and incurred operating expenses.
  6. 6. Meet with clients to negotiate management and service contracts, determine priorities, and discuss the financial and operational status of properties.
  7. 7. Direct and coordinate the activities of staff and contract personnel and evaluate their performance.
  8. 8. Prepare and administer contracts for provision of property services, such as cleaning, maintenance, and security services.
  9. 9. Market vacant space to prospective tenants through leasing agents, advertising, or other methods.
  10. 10. Clean common areas, change light bulbs, and make minor property repairs.

Key Skills Required

  • Speaking
  • Reading Comprehension
  • Active Listening
  • Writing
  • Coordination
  • Critical Thinking
  • Negotiation
  • Social Perceptiveness
  • Persuasion
  • Monitoring

Knowledge Areas

  • Customer and Personal Service
  • Administration and Management
  • Economics and Accounting
  • English Language
  • Law and Government
  • Public Safety and Security
  • Mathematics
  • Personnel and Human Resources
  • Computers and Electronics
  • Sales and Marketing

Frequently Asked Questions

Will AI replace Property, real estate, and community association managers?

Property, real estate, and community association managers has an AI exposure score of 37%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Property, real estate, and community association managers?

According to BLS Employment Projections 2024-2034, Property, real estate, and community association managers is projected to grow by 3.6% over the decade. Current employment stands at approximately 466,100 workers.

What skills are needed for Property, real estate, and community association managers?

Key skills for Property, real estate, and community association managers include Speaking, Reading Comprehension, Active Listening, and others. Typical entry-level education is High school diploma or equivalent.

How much do Property, real estate, and community association managers earn?

The median annual wage for Property, real estate, and community association managers is $66,700, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Property, real estate, and community association managers?

The typical entry-level education for Property, real estate, and community association managers is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Property, real estate, and community association managers?

Property, real estate, and community association managers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.9
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Property, real estate, and community association managers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (37% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+3.6% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

Next steps here

Use Property, real estate, and community association managers' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.