Skip to content
Singulariki

Real Estate and Rental and Leasing

Sector · NAICS 53

Take this to your AI
Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /industries/53/context.md directly.

Real Estate and Rental and Leasing is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 2,367,820 workers across 335 detailed occupations in it. A typical worker earns around $57,819 a year (Singulariki estimate, see below).

The Sector as a Whole The Real Estate and Rental and Leasing sector comprises establishments primarily engaged in renting, leasing, or otherwise allowing the use of tangible or intangible assets, and establishments providing related services. The major portion of this sector comprises establishments that rent, lease, or otherwise allow the use of their own assets by others. The assets may be tangible, as is the case of real estate and equipment, or intangible, as is the case with patents and trademarks. This sector also includes establishments primarily engaged in managing real estate for others, selling, renting, and/or buying real estate for others, and appraising real estate. These activities are closely related to this sector's main activity, and from a production basis they are included here. In addition, a substantial proportion of property management is self-performed by lessors. The main components of this sector are the real estate lessors industries (including equity real estate investment trusts (REITs)); equipment lessors industries (including motor vehicles, computers, and consumer goods); and lessors of nonfinancial intangible assets (except copyrighted works). Excluded from this sector are establishments primarily engaged in renting or leasing equipment with operators. Establishments renting or leasing equipment with operators are classified in various subsectors of NAICS depending on the nature of the services provided (e.g., transportation, construction, agriculture). These activities are excluded from this sector because the client is paying for the expertise and knowledge of the equipment operator, in addition to the rental of the equipment. In many cases, such as the rental of heavy construction equipment, the operator is essential to operate the equipment. Also excluded from this sector are mortgage REITs and establishments primarily engaged in managing the financial portfolio assets of REITs on a fee or commission basis. These establishments are classified in Sector 52, Finance and Insurance.

Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.

How exposed this industry is to AI

Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Moderate band — 66th percentile across all industries.

Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 256 occupations that carry an exposure score. Compare every industry on the AI exposure hub.

How AI is actually used in this industry

Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.

Signal coverage 82.7% of employment · 162/277 occupations have AEI task data
Augmentation vs. automation 45.9% working with AI · 36.3% handed to AI
Most common pattern Directive · AI does it; you give the instruction
Typical AI autonomy 3.4 / 5 · higher = AI acts more independently

Tasks driving the signal

The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.

Task Occupation How Share of signal
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 34.4%
Advise clients on market conditions, prices, mortgages, legal requirements and related matters. Real Estate Sales Agents Learning 5.5%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 4.8%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 4.4%
Recommend and provide advice on a wide variety of products and services. Counter and Rental Clerks Iteration 3.5%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 3.3%
Promote sales of properties through advertisements, open houses, and participation in multiple listing services. Real Estate Sales Agents Iteration 1.8%
Explain rental fees, policies, and procedures. Counter and Rental Clerks Learning 1.4%
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. First-Line Supervisors of Office and Administrative Support Workers Iteration 1.4%
Process and prepare documents, such as business or government forms and expense reports. Office Clerks, General Directive 1.4%
Manage and oversee operations, maintenance, administration, and improvement of commercial, industrial, or residential properties. Property, Real Estate, and Community Association Managers Iteration 1.2%
Evaluate mortgage options to help clients obtain financing at the best prevailing rates and terms. Real Estate Sales Agents Learning 1.1%

Occupations behind the signal

The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.

Occupation Workers Share How they use AI
Maintenance and Repair Workers, General 314,320 13.3% Learning
Property, Real Estate, and Community Association Managers 239,020 10.1% Iteration
Counter and Rental Clerks 189,840 8.0% Directive
Real Estate Sales Agents 154,000 6.5% Iteration
General and Operations Managers 106,570 4.5% Iteration
Office Clerks, General 100,870 4.3% Feedback loop
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 61,960 2.6% Directive
Bookkeeping, Accounting, and Auditing Clerks 61,750 2.6% Directive
First-Line Supervisors of Mechanics, Installers, and Repairers 58,270 2.5% Directive
Accountants and Auditors 50,410 2.1% Directive
Real Estate Brokers 43,010 1.8% Directive
Customer Service Representatives 41,740 1.8% Directive

This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.

Skill & tool metabolism

What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.

Based on 95.8% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 90.8% 2,151,070
Speaking 89.4% 2,116,090
Critical Thinking 85.8% 2,031,240
Reading Comprehension 83.9% 1,987,630
Time Management 83.6% 1,979,710
Monitoring 79.7% 1,888,030
Coordination 76.0% 1,798,460
Writing 64.7% 1,532,450
Judgment and Decision Making 63.4% 1,500,500
Social Perceptiveness 63.2% 1,495,350
Service Orientation 61.7% 1,461,460
Complex Problem Solving 60.7% 1,438,390

Knowledge areas

Knowledge area Employment reach Workers
English Language 90.3% 2,137,590
Customer and Personal Service 77.1% 1,824,450
Administration and Management 66.5% 1,574,740
Mathematics 66.0% 1,563,750
Administrative 59.8% 1,415,840
Computers and Electronics 46.5% 1,099,950
Building and Construction 34.3% 811,100
Sales and Marketing 34.3% 812,710
Economics and Accounting 33.8% 800,660
Education and Training 30.4% 719,850
Law and Government 28.1% 666,010
Public Safety and Security 27.1% 640,650

Abilities

Abilitie Employment reach Workers
Near Vision 95.7% 2,266,940
Oral Comprehension 93.3% 2,209,520
Oral Expression 93.3% 2,208,960
Problem Sensitivity 91.3% 2,160,710
Information Ordering 87.5% 2,072,200
Speech Recognition 86.8% 2,056,310
Speech Clarity 85.9% 2,033,090
Written Comprehension 85.0% 2,011,710
Written Expression 78.4% 1,857,050
Deductive Reasoning 76.9% 1,822,030
Inductive Reasoning 74.5% 1,764,910
Category Flexibility 70.3% 1,663,470

Tool categories

Tool category Employment reach Workers
Spreadsheet software 96.5% 2,284,940
Office suite software 95.1% 2,251,100
Electronic mail software 94.6% 2,239,550
Word processing software 93.5% 2,213,150
Data base user interface and query software 88.3% 2,090,610
Presentation software 81.0% 1,917,310
Operating system software 69.0% 1,633,360
Project management software 67.2% 1,590,560
Enterprise resource planning ERP software 65.4% 1,548,500
Internet browser software 63.5% 1,502,660
Web page creation and editing software 60.0% 1,420,100
Cloud-based data access and sharing software 58.9% 1,394,940
Accounting software 53.7% 1,270,600
Video creation and editing software 52.4% 1,239,710
Desktop publishing software 50.1% 1,186,410

Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.

Largest occupations

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 39 occupations in Real Estate and Rental and Leasing. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Maids and Housekeeping Cleaners Landscaping and Groundskeeping Workers Bus and Truck Mechanics and Diesel Engine Specialists Mobile Heavy Equipment Mechanics, Except Engines Maintenance and Repair Workers, General Heavy and Tractor-Trailer Truck Drivers Light Truck Drivers Security Guards First-Line Supervisors of Mechanics, Installers, and Repairers First-Line Supervisors of Retail Sales Workers General and Operations Managers Retail Salespersons Property, Real Estate, and Community Association Managers Counter and Rental Clerks Sales Managers Business Operations Specialists, All Other Bookkeeping, Accounting, and Auditing Clerks Human Resources Specialists Customer Service Representatives AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).

Occupation Workers Share National median pay
Maintenance and Repair Workers, General 314,320 13.3% $47,610
Property, Real Estate, and Community Association Managers 239,020 10.1% $63,680
Counter and Rental Clerks 189,840 8.0% $38,200
Real Estate Sales Agents 154,000 6.5% $52,050
General and Operations Managers 106,570 4.5% $99,880
Office Clerks, General 100,870 4.3% $42,490
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 72,210 3.0% $38,600
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 61,960 2.6% $44,890
Bookkeeping, Accounting, and Auditing Clerks 61,750 2.6% $50,720
First-Line Supervisors of Mechanics, Installers, and Repairers 58,270 2.5% $65,080
Accountants and Auditors 50,410 2.1% $79,990
Real Estate Brokers 43,010 1.8% $71,990
Customer Service Representatives 41,740 1.8% $40,860
Laborers and Freight, Stock, and Material Movers, Hand 41,250 1.7% $39,180
Heavy and Tractor-Trailer Truck Drivers 29,640 1.3% $55,690
Landscaping and Groundskeeping Workers 28,650 1.2% $38,050
Security Guards 27,340 1.2% $46,380
Cleaners of Vehicles and Equipment 26,370 1.1% $36,280
First-Line Supervisors of Office and Administrative Support Workers 26,280 1.1% $64,340
Light Truck Drivers 24,430 1.0% $38,950
Receptionists and Information Clerks 22,740 1.0% $37,390
Maids and Housekeeping Cleaners 22,600 1.0% $36,350
Market Research Analysts and Marketing Specialists 21,970 0.9% $61,600
First-Line Supervisors of Retail Sales Workers 21,970 0.9% $56,870
Financial Managers 21,450 0.9% $166,490
Mobile Heavy Equipment Mechanics, Except Engines 20,820 0.9% $61,160
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 20,420 0.9% $66,890
Business Operations Specialists, All Other 19,790 0.8% $63,960
Project Management Specialists 18,660 0.8% $97,840
Bus and Truck Mechanics and Diesel Engine Specialists 14,990 0.6% $58,600
Executive Secretaries and Executive Administrative Assistants 14,930 0.6% $74,360
Property Appraisers and Assessors 14,890 0.6% $60,670
Audio and Video Technicians 13,310 0.6% $51,560
Human Resources Specialists 12,170 0.5% $72,430
Retail Salespersons 10,950 0.5% $35,720
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 10,280 0.4% $59,890
Sales Managers 9,980 0.4% $118,680
Construction Managers 9,580 0.4% $128,910
Financial and Investment Analysts 9,050 0.4% $99,110
Concierges 8,920 0.4% $44,780

Showing the top 40 of 335 occupations by employment.

Most distinctive occupations

The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).

For a sector this broad, the location quotient has a ceiling set by the sector's own share of national employment, so the top values tend to cluster near that limit.

Occupation Concentration Workers
Real Estate Brokers 56.48× 43,010
Real Estate Sales Agents 52.61× 154,000
Property, Real Estate, and Community Association Managers 52.47× 239,020
Counter and Rental Clerks 31.01× 189,840
Property Appraisers and Assessors 16.41× 14,890
Maintenance and Repair Workers, General 13.36× 314,320
Concierges 13.14× 8,920
Audio and Video Technicians 12.37× 13,310
Correspondence Clerks 9.99× 960
Material Moving Workers, All Other 9.38× 3,630
Motor Vehicle Operators, All Other 7.72× 5,970
Mobile Heavy Equipment Mechanics, Except Engines 7.52× 20,820
Medical Equipment Repairers 6.59× 6,160
First-Line Supervisors of Mechanics, Installers, and Repairers 6.32× 58,270
Cleaners of Vehicles and Equipment 4.59× 26,370
Bicycle Repairers 4.45× 860
Lighting Technicians 4.37× 680
Title Examiners, Abstractors, and Searchers 4.15× 3,070
Recreational Vehicle Service Technicians 3.65× 1,050
Baggage Porters and Bellhops 3.59× 1,720
Write a report on thisheadline · factoids · citation

The Real Estate and Rental and Leasing workforce sits at the 66th percentile of AI task overlap — 2,367,820 U.S. workers

  • Weighting every occupation by its real share of Real Estate and Rental and Leasing employment, the industry's workforce ranks in the 66th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
  • The industry employs about 2,367,820 U.S. workers across 335 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $57,819.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Real Estate and Rental and Leasing workforce sits at the 66th percentile of AI task overlap — 2,367,820 U.S. workers

• Weighting every occupation by its real share of Real Estate and Rental and Leasing employment, the industry's workforce ranks in the 66th percentile (Moderate band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS)
• The industry employs about 2,367,820 U.S. workers across 335 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $57,819. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 46% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Real Estate and Rental and Leasing". https://singulariki.com/industries/53
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Real Estate and Rental and Leasing." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/53

APA

Singulariki. (2026). Real Estate and Rental and Leasing. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/53

BibTeX 
@misc{singulariki-53,
  title  = {Real Estate and Rental and Leasing},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/industries/53}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.