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Social and Human Service Assistants

Occupation · SOC 21-1093.00

Assist other social and human service providers in providing client services in a wide variety of fields, such as psychology, rehabilitation, or social work, including support for families. May assist clients in identifying and obtaining available benefits and social and community services. May assist social workers with developing, organizing, and conducting programs to prevent and resolve problems relevant to substance abuse, human relationships, rehabilitation, or dependent care.

Also called: Advocate · Clinical Assistant · Social Work Associate · Social Worker Assistant · Addictions Counselor Assistant · Residential Care Assistant · Social Services Aide · Social Services Assistant · Social Work Assistant · Case Aide · Case Management Assistant · Case Management Coordinator

Job family: Community and Social Service Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-21-1093-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Observe clients' food selections and recommend alternate economical and nutritional food choices. · 0.6%
See how AI is used here →

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Assist in locating housing for displaced individuals. · 0.4%
  • Provide information or refer individuals to public or private agencies or community services for assistance. · 0.3%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Observe clients' food selections and recommend alternate economical and nutritional food choices. · 100.0% need a human
  • Assist in locating housing for displaced individuals. · 97.4% need a human
  • Assist in planning food budgets, using charts or sample budgets. · 97.1% need a human
See the boundary tasks →

62nd-percentile task overlap — yet about 50,600 openings a year (+6.4% projected, BLS), and observed AI use leans 2909% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 59th 0.5
LLM task exposure, γ (OpenAI / Eloundou) Moderate 48th 0.6
AI assistant applicability (Microsoft) High 82nd 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.4), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.1 · 30th percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Assist in locating housing for displaced individuals. 0.5%
Provide information or refer individuals to public or private agencies or community services for assistance. 0.2%
Assist in planning food budgets, using charts or sample budgets. 0.2%
Observe clients' food selections and recommend alternate economical and nutritional food choices. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook About average · +6.4% by 2034
Projected annual openings 50,600
Employment 2024 → 2034 449,600 → 478,500

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

33% mean task exposure (2025)
62nd percentile of 427 placed occupations
+4 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Social Work Associate Professionals · 3412 33% Minimal

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 29.1% working with AI · 13.3% handed to AI
Most common way people use AI here Learning · you ask AI to explain or teach
Typical AI autonomy 3.0 / 5 · higher = AI acts more independently

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Observe clients' food selections and recommend alternate economical and nutritional food choices. Directive 0.6%
Assist in locating housing for displaced individuals. Learning 0.4%
Assist in planning food budgets, using charts or sample budgets. 0.4%
Provide information or refer individuals to public or private agencies or community services for assistance. Learning 0.3%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Observe clients' food selections and recommend alternate economical and nutritional food choices. 100.0%
Assist in locating housing for displaced individuals. 97.4%
Assist in planning food budgets, using charts or sample budgets. 97.1%
Provide information or refer individuals to public or private agencies or community services for assistance. 97.1%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me observe clients' food selections and recommend alternate economical and nutritional food choices.

    From: Observe clients' food selections and recommend alternate economical and nutritional food choices. · 0.6% of measured AI use · directive

  • Help me assist in locating housing for displaced individuals.

    From: Assist in locating housing for displaced individuals. · 0.4% of measured AI use · learning

  • Help me assist in planning food budgets, using charts or sample budgets.

    From: Assist in planning food budgets, using charts or sample budgets. · 0.4% of measured AI use

  • Help me provide information or refer individuals to public or private agencies or community services for assistance.

    From: Provide information or refer individuals to public or private agencies or community services for assistance. · 0.3% of measured AI use · learning

Tasks

All 20 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Teach parenting techniques to family members.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.5
Psychology 4.3
Therapy and Counseling 3.9
English Language 3.7
Administrative 3.3
Sociology and Anthropology 3.3
Computers and Electronics 3.2
Education and Training 3.1

Essential skills

Active Listening 4.0
Speaking 4.0
Reading Comprehension 3.8
Writing 3.6
Critical Thinking 3.6
Monitoring 3.6
Active Learning 3.3
Learning Strategies 2.9

Transferable skills

Social Perceptiveness 4.0
Service Orientation 3.9
Coordination 3.8
Persuasion 3.4
Complex Problem Solving 3.3
Judgment and Decision Making 3.3
Negotiation 3.0
Time Management 3.0

Abilities

Oral Expression 4.0
Oral Comprehension 3.9
Written Comprehension 3.9
Written Expression 3.9
Problem Sensitivity 3.9
Deductive Reasoning 3.9
Speech Clarity 3.9
Speech Recognition 3.6
Fluency of Ideas 3.3
Inductive Reasoning 3.3
Near Vision 3.3
Originality 3.0
Information Ordering 3.0
Category Flexibility 3.0
Flexibility of Closure 3.0
Selective Attention 3.0

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Office software Office suite software Hot technology In demand
MEDITECH software Medical software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Database software Data base user interface and query software
Electronic medical record EMR software Medical software
Nuance Dragon NaturallySpeaking Voice recognition software
PointClickCare healthcare software Medical software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Face-to-Face Discussions with Individuals and Within Teams 5.0
Contact With Others 4.9
E-Mail 4.8
Telephone Conversations 4.8
Work With or Contribute to a Work Group or Team 4.6
Deal With External Customers or the Public in General 4.5
Written Letters and Memos 4.4
Coordinate or Lead Others in Accomplishing Work Activities 4.3
Indoors, Environmentally Controlled 4.2
Time Pressure 4.1
Importance of Being Exact or Accurate 4.1
Determine Tasks, Priorities and Goals 4.1
Freedom to Make Decisions 3.9
Health and Safety of Other Workers 3.8
Conflict Situations 3.8
Frequency of Decision Making 3.7
Impact of Decisions on Co-workers or Company Results 3.7
Dealing With Unpleasant, Angry, or Discourteous People 3.6
Physical Proximity 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Importance of Repeating Same Tasks 3.4
Spend Time Sitting 3.4
Public Speaking 3.2
Work Outcomes and Results of Other Workers 3.1
Exposed to Disease or Infections 3.1
Spend Time Making Repetitive Motions 2.9
In an Enclosed Vehicle or Operate Enclosed Equipment 2.9
Consequence of Error 2.7
Exposed to Contaminants 2.7
Level of Competition 2.5
Spend Time Walking or Running 2.4
Exposed to Very Hot or Cold Temperatures 2.4
Spend Time Standing 2.3
Outdoors, Exposed to All Weather Conditions 2.3
Degree of Automation 2.2
Dealing with Violent or Physically Aggressive People 2.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.9
Indoors, Not Environmentally Controlled 1.9
Spend Time Bending or Twisting Your Body 1.9

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Family and Consumer Sciences/Human Sciences , Public Administration and Social Service Professions . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 39.4%
Associate's Degree (or other 2-year degree) 18.0%
Some College Courses 16.2%
High School Diploma 10.4%
Master's Degree 7.4%
Post-Master's Certificate 3.8%
Doctoral Degree 3.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Work styles

Dependability 7.0
Integrity 6.0
Cooperation 5.0
Social Orientation 4.0
Empathy 3.0

Interest areas

Social Service 6.5
Professional Advising 4.4
Social Science 4.0
Personal Service 3.7
Health Care Service 3.6
Office Work 3.0
Teaching/Education 2.7

Career interests (Holland / RIASEC)

Social 6.1
Conventional 4.6
Enterprising 3.6
Investigative 2.8

Wages & employment

U.S. · annual wages (BLS OEWS)

$33k10th$38k25th$45kMedian$53k75th$64k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
450k2024479k2034 (proj.)+6.4% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $33,280
25th percentile $37,770
Median (50th) $45,120
75th percentile $53,040
90th percentile $63,850
People employed 424,220

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Health Care and Social Assistance · Sector 277,510 $43,830
Services for the Elderly and Persons with Disabilities · National industry 33,640 $43,740
Other Services (except Public Administration) · Sector 29,220 $46,260
Outpatient Mental Health and Substance Abuse Centers · National industry 20,770 $43,070
Residential Mental Health and Substance Abuse Facilities · National industry 20,290 $40,150
Educational Services · Sector 16,980 $43,440
Residential Intellectual and Developmental Disability Facilities · National industry 8,450 $41,710
Management of Companies and Enterprises · Sector 6,510 $48,290
Offices of Mental Health Practitioners (except Physicians) · National industry 5,100 $44,210
Administrative and Support and Waste Management and Remediation Services · Sector 3,560 $45,100
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 1,890 $42,470
Professional, Scientific, and Technical Services · Sector 1,810 $45,210

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Residential Mental Health and Substance Abuse Facilities · National industry 28.51× 20,290
Outpatient Mental Health and Substance Abuse Centers · National industry 24.38× 20,770
Residential Intellectual and Developmental Disability Facilities · National industry 7.89× 8,450
Offices of Mental Health Practitioners (except Physicians) · National industry 7.67× 5,100
Services for the Elderly and Persons with Disabilities · National industry 5.07× 33,640
Health Care and Social Assistance · Sector 4.37× 277,510
Other Services (except Public Administration) · Sector 2.4× 29,220
Offices of Physical, Occupational and Speech Therapists, and Audiologists · National industry 1.44× 1,890

Part of the Healthcare & Human Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Social and Human Service Assistants sits at the 62nd percentile of AI task-overlap and the 20th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Social and Human Service Assistants Psychiatric Aides Mental Health and Substance Abuse Social Workers Community Health Workers Clinical and Counseling Psychologists Health Education Specialists Healthcare Social Workers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Social and Human Service Assistants — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 62nd percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Social and Human Service Assistants show 62nd-percentile AI task overlap — and about 50,600 annual U.S. openings

  • Social and Human Service Assistants rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 50,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be about average (+6.4%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $45,120, across about 424,220 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 29% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Social and Human Service Assistants show 62nd-percentile AI task overlap — and about 50,600 annual U.S. openings

• Social and Human Service Assistants rank in the 62nd percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 50,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be about average (+6.4%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $45,120, across about 424,220 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 29% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Social and Human Service Assistants". https://singulariki.com/roles/role-21-1093-00
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 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Social and Human Service Assistants." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-21-1093-00

APA

Singulariki. (2026). Social and Human Service Assistants. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-21-1093-00

BibTeX
@misc{singulariki-role-21-1093-00,
  title  = {Social and Human Service Assistants},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-21-1093-00}
}

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

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