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Services for the Elderly and Persons with Disabilities

National industry · NAICS 624120

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Services for the Elderly and Persons with Disabilities is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 2,410,680 workers across 207 detailed occupations in it. A typical worker earns around $37,283 a year (Singulariki estimate, see below).

This industry comprises establishments primarily engaged in providing nonresidential social assistance services to improve the quality of life for the elderly or persons with intellectual and/or developmental disabilities. These establishments provide for the welfare of these individuals in such areas as day care, non-medical home care or homemaker services, social activities, group support, and companionship. Cross-References. Establishments primarily engaged in--

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 High band — 68th 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 157 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 10.7% of employment · 110/174 occupations have AEI task data
Augmentation vs. automation 45.8% working with AI · 32.1% 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 37.0%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 5.9%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 5.5%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 4.1%
Direct or provide home health services. Registered Nurses Learning 3.3%
Instruct individuals in career development techniques such as job search and application strategies, resume writing, and interview skills. Educational, Guidance, and Career Counselors and Advisors Iteration 2.6%
Educate patients and family members about mental health and medical conditions, preventive health measures, medications, or treatment plans. Registered Nurses Learning 2.3%
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 1.9%
Process and prepare documents, such as business or government forms and expense reports. Office Clerks, General Directive 1.5%
Conduct classes, workshops, and demonstrations, and provide individual instruction to teach topics and skills such as cooking, dancing, writing, physical fitness, photography, personal finance, and flying. Self-Enrichment Teachers Learning 1.0%
Create, maintain, and enter information into databases. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 1.0%
Teach patient education programs that include information required to make informed health care and treatment decisions. Registered Nurses Directive 0.9%

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
Social and Human Service Assistants 33,640 1.4% Learning
Social and Community Service Managers 18,750 0.8% Iteration
Registered Nurses 17,710 0.7% Learning
Office Clerks, General 16,670 0.7% Feedback loop
Healthcare Social Workers 15,340 0.6% Learning
General and Operations Managers 13,940 0.6% Iteration
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 11,880 0.5% Directive
Rehabilitation Counselors 8,940 0.4% Iteration
Child, Family, and School Social Workers 8,030 0.3% Learning
Licensed Practical and Licensed Vocational Nurses 7,170 0.3% Directive
Human Resources Specialists 7,070 0.3% Directive
Medical and Health Services Managers 5,920 0.3% Iteration

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 13.9% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Active Listening 13.8% 333,010
Speaking 13.6% 328,060
Critical Thinking 13.4% 322,500
Service Orientation 12.8% 308,120
Reading Comprehension 12.7% 307,120
Monitoring 12.5% 302,260
Social Perceptiveness 12.4% 299,180
Coordination 12.2% 293,370
Time Management 11.4% 275,100
Writing 11.0% 266,050
Judgment and Decision Making 9.6% 232,270
Complex Problem Solving 9.5% 228,360

Knowledge areas

Knowledge area Employment reach Workers
Customer and Personal Service 13.6% 327,530
English Language 13.6% 328,690
Administrative 9.3% 224,600
Administration and Management 9.2% 221,820
Education and Training 9.1% 218,470
Psychology 7.2% 172,940
Therapy and Counseling 7.0% 168,700
Computers and Electronics 6.3% 152,180
Public Safety and Security 5.6% 134,160
Sociology and Anthropology 5.2% 124,920
Mathematics 5.0% 121,060
Personnel and Human Resources 4.0% 95,680

Abilities

Abilitie Employment reach Workers
Near Vision 13.9% 335,590
Oral Comprehension 13.9% 335,070
Oral Expression 13.8% 332,140
Speech Clarity 13.5% 325,070
Speech Recognition 13.5% 325,130
Problem Sensitivity 13.4% 323,770
Information Ordering 13.3% 321,420
Deductive Reasoning 13.2% 318,530
Inductive Reasoning 13.2% 318,450
Written Comprehension 12.9% 311,530
Written Expression 12.5% 301,960
Category Flexibility 12.3% 296,440

Tool categories

Tool category Employment reach Workers
Spreadsheet software 14.0% 338,670
Office suite software 13.8% 333,330
Electronic mail software 13.2% 319,410
Word processing software 13.1% 316,770
Data base user interface and query software 12.7% 305,970
Internet browser software 12.3% 297,470
Medical software 11.1% 268,730
Presentation software 10.7% 257,850
Project management software 7.1% 171,520
Operating system software 6.8% 164,900
Enterprise resource planning ERP software 6.5% 157,050
Desktop publishing software 6.3% 151,070
Web page creation and editing software 6.1% 145,880
Video conferencing software 5.9% 141,630
Accounting software 5.8% 139,160

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 35 occupations in Services for the Elderly and Persons with Disabilities. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Nursing Assistants Janitors and Cleaners, Except Maids and Housekeeping Cleaners Maintenance and Repair Workers, General Licensed Practical and Licensed Vocational Nurses Psychiatric Technicians Recreation Workers Registered Nurses Self-Enrichment Teachers General and Operations Managers Healthcare Social Workers Marriage and Family Therapists Social and Community Service Managers Child, Family, and School Social Workers Medical and Health Services Managers Billing and Posting Clerks Bookkeeping, Accounting, and Auditing Clerks Human Resources Specialists Accountants and Auditors 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
Home Health and Personal Care Aides 2,021,860 83.9% $34,600
Social and Human Service Assistants 33,640 1.4% $43,740
Nursing Assistants 32,390 1.3% $34,540
Personal Care and Service Workers, All Other 24,310 1.0% $37,900
Social and Community Service Managers 18,750 0.8% $66,870
Registered Nurses 17,710 0.7% $79,700
Office Clerks, General 16,670 0.7% $38,070
Healthcare Social Workers 15,340 0.6% $57,820
General and Operations Managers 13,940 0.6% $85,550
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 11,880 0.5% $41,530
Shuttle Drivers and Chauffeurs 11,660 0.5% $34,620
Rehabilitation Counselors 8,940 0.4% $42,030
Substance Abuse, Behavioral Disorder, and Mental Health Counselors 8,220 0.3% $50,120
Child, Family, and School Social Workers 8,030 0.3% $56,900
Licensed Practical and Licensed Vocational Nurses 7,170 0.3% $59,710
Human Resources Specialists 7,070 0.3% $52,390
Medical and Health Services Managers 5,920 0.2% $90,380
Recreation Workers 5,440 0.2% $34,740
First-Line Supervisors of Office and Administrative Support Workers 5,370 0.2% $58,480
Psychiatric Technicians 5,110 0.2% $42,530
Bookkeeping, Accounting, and Auditing Clerks 4,550 0.2% $47,710
Teaching Assistants, Except Postsecondary 4,490 0.2% $34,860
Community and Social Service Specialists, All Other 4,380 0.2% $51,330
Cooks, Institution and Cafeteria 4,160 0.2% $32,860
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 3,810 0.2% $31,200
Accountants and Auditors 3,550 0.1% $68,120
Light Truck Drivers 3,540 0.1% $33,350
Billing and Posting Clerks 3,360 0.1% $45,140
Maintenance and Repair Workers, General 3,350 0.1% $40,060
Medical Secretaries and Administrative Assistants 3,330 0.1% $39,060
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 3,290 0.1% $75,310
Customer Service Representatives 3,230 0.1% $45,220
Receptionists and Information Clerks 3,160 0.1% $35,050
First-Line Supervisors of Personal Service Workers 3,140 0.1% $46,870
Food Preparation Workers 2,930 0.1% $29,680
Production, Planning, and Expediting Clerks 2,760 0.1% $48,570
Training and Development Specialists 2,330 0.1% $49,860
Marriage and Family Therapists 2,280 0.1% $49,280
Self-Enrichment Teachers 2,210 0.1% $43,650
Clinical and Counseling Psychologists 2,150 0.1% $80,430

Showing the top 40 of 207 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).

Occupation Concentration Workers
Home Health and Personal Care Aides 32.43× 2,021,860
Personal Care and Service Workers, All Other 24.92× 24,310
Rehabilitation Counselors 6.43× 8,940
Social and Community Service Managers 6.13× 18,750
Healthcare Social Workers 5.28× 15,340
Social and Human Service Assistants 5.07× 33,640
Counselors, All Other 3.26× 1,700
Shuttle Drivers and Chauffeurs 3.25× 11,660
Therapists, All Other 2.81× 850
Community and Social Service Specialists, All Other 2.54× 4,380
Psychiatric Technicians 2.4× 5,110
Marriage and Family Therapists 2.21× 2,280
Special Education Teachers, Preschool 2.09× 920
Clinical and Counseling Psychologists 1.9× 2,150
First-Line Supervisors of Personal Service Workers 1.88× 3,140
Recreational Therapists 1.83× 430
Arbitrators, Mediators, and Conciliators 1.63× 200
Community Health Workers 1.59× 1,510
Social Workers, All Other 1.57× 1,590
Nursing Assistants 1.49× 32,390
Write a report on thisheadline · factoids · citation

The Services for the Elderly and Persons with Disabilities workforce sits at the 68th percentile of AI task overlap — 2,410,680 U.S. workers

  • Weighting every occupation by its real share of Services for the Elderly and Persons with Disabilities employment, the industry's workforce ranks in the 68th percentile (High 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 2,410,680 U.S. workers across 207 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $37,283.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 Services for the Elderly and Persons with Disabilities workforce sits at the 68th percentile of AI task overlap — 2,410,680 U.S. workers

• Weighting every occupation by its real share of Services for the Elderly and Persons with Disabilities employment, the industry's workforce ranks in the 68th percentile (High 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 2,410,680 U.S. workers across 207 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $37,283. (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 — "Services for the Elderly and Persons with Disabilities". https://singulariki.com/industries/624120
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. "Services for the Elderly and Persons with Disabilities." 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/624120

APA

Singulariki. (2026). Services for the Elderly and Persons with Disabilities. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/624120

BibTeX 
@misc{singulariki-624120,
  title  = {Services for the Elderly and Persons with Disabilities},
  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/624120}
}

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