Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Monitor, evaluate, and record client progress with respect to treatment goals. · 0.8%
Occupation · SOC 21-1023.00
Assess and treat individuals with mental, emotional, or substance abuse problems, including abuse of alcohol, tobacco, and/or other drugs. Activities may include individual and group therapy, crisis intervention, case management, client advocacy, prevention, and education.
Also called: Case Manager · Mental Health Therapist · Social Worker · Therapist · Clinical Social Worker · Clinical Therapist · Clinician · Counselor · Licensed Clinical Social Worker (LCSW) · Addictions Counselor · Alcoholism Worker · Assessment Specialist
Job family: Community and Social Service Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-21-1023-00/context.md directly.
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.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
57th-percentile task overlap — yet about 13,500 openings a year (+9.7% projected, BLS), and observed AI use leans 5217% copilot, not hand-off (AEI) . What exposure means →
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.
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.) High | 79th | 1.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 46th | 0.5 | |
| AI assistant applicability (Microsoft) Moderate | 49th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.5). 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.
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 0.0 · 0th percentile among occupations · Low
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.
| Modify treatment plans according to changes in client status. | 1.2% | |
| Educate clients or community members about mental or physical illness, abuse, medication, or available community resources. | 1.1% | |
| Monitor, evaluate, and record client progress with respect to treatment goals. | 0.6% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +9.7% by 2034 |
| Projected annual openings | 13,500 |
| Employment 2024 → 2034 | 136,800 → 150,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
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.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Social Work and Counselling Professionals · 2635 | 28% | Not exposed |
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.
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 | 52.2% working with AI · 18.3% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 28.3% |
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 |
|---|---|---|
| Monitor, evaluate, and record client progress with respect to treatment goals. | Directive | 0.8% |
| Educate clients or community members about mental or physical illness, abuse, medication, or available community resources. | Learning | 0.7% |
| Modify treatment plans according to changes in client status. | Learning | 0.5% |
| Interview clients, review records, conduct assessments, or confer with other professionals to evaluate the mental or physical condition of clients or patients. | Learning | 0.4% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Educate clients or community members about mental or physical illness, abuse, medication, or available community resources. | 98.5% | |
| Monitor, evaluate, and record client progress with respect to treatment goals. | 96.1% | |
| Interview clients, review records, conduct assessments, or confer with other professionals to evaluate the mental or physical condition of clients or patients. | 89.7% | |
| Modify treatment plans according to changes in client status. | 77.6% |
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 monitor, evaluate, and record client progress with respect to treatment goals. From: Monitor, evaluate, and record client progress with respect to treatment goals. · 0.8% of measured AI use · directive
Help me educate clients or community members about mental or physical illness, abuse, medication, or available community resources. From: Educate clients or community members about mental or physical illness, abuse, medication, or available community resources. · 0.7% of measured AI use · learning
Help me modify treatment plans according to changes in client status. From: Modify treatment plans according to changes in client status. · 0.5% of measured AI use · learning
Help me interview clients, review records, conduct assessments, or confer with other professionals to evaluate the mental or physical condition of clients or patients. From: Interview clients, review records, conduct assessments, or confer with other professionals to evaluate the mental or physical condition of clients or patients. · 0.4% of measured AI use · learning
All 13 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Therapy and Counseling | 4.8 | |
| Psychology | 4.7 | |
| English Language | 3.9 | |
| Customer and Personal Service | 3.8 | |
| Education and Training | 3.7 | |
| Sociology and Anthropology | 3.6 | |
| Public Safety and Security | 3.3 |
| Oral Comprehension | 4.5 | |
| Oral Expression | 4.3 | |
| Written Comprehension | 4.1 | |
| Written Expression | 4.1 | |
| Problem Sensitivity | 4.1 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Speech Clarity | 4.0 | |
| Fluency of Ideas | 3.9 | |
| Speech Recognition | 3.9 | |
| Originality | 3.8 | |
| Information Ordering | 3.8 | |
| Category Flexibility | 3.8 | |
| Flexibility of Closure | 3.3 | |
| Near Vision | 3.3 |
| Social Perceptiveness | 4.3 | |
| Coordination | 3.9 | |
| Service Orientation | 3.9 | |
| Complex Problem Solving | 3.9 | |
| Persuasion | 3.8 | |
| Judgment and Decision Making | 3.5 | |
| Negotiation | 3.4 | |
| Instructing | 3.3 | |
| Systems Analysis | 3.3 | |
| Time Management | 3.3 |
| Active Listening | 4.1 | |
| Speaking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Critical Thinking | 4.0 | |
| Monitoring | 4.0 | |
| Writing | 3.8 | |
| Learning Strategies | 3.8 | |
| Active Learning | 3.3 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 45.
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.
What to study: Health Professions and Related Programs , Public Administration and Social Service Professions . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Master's Degree | 77.2% | |
| Bachelor's Degree | 18.8% | |
| Post-Master's Certificate | 4.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 10.0 | |
| Integrity | 9.0 | |
| Cooperation | 8.0 | |
| Social Orientation | 7.0 | |
| Self-Control | 6.0 | |
| Stress Tolerance | 5.0 | |
| Empathy | 4.0 |
| Social | 7.0 | |
| Investigative | 4.1 | |
| Conventional | 3.1 |
| Social Service | 6.8 | |
| Social Science | 5.9 | |
| Health Care Service | 5.8 | |
| Professional Advising | 5.8 | |
| Teaching/Education | 3.6 | |
| Personal Service | 3.2 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,620 |
| 25th percentile | $46,550 |
| Median (50th) | $60,060 |
| 75th percentile | $78,980 |
| 90th percentile | $104,130 |
| People employed | 125,910 |
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 | 99,310 | $59,330 |
| Outpatient Mental Health and Substance Abuse Centers · National industry | 22,960 | $53,470 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 15,960 | $67,270 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 10,650 | $48,790 |
| Professional, Scientific, and Technical Services · Sector | 2,540 | $43,410 |
| Research and Development in the Social Sciences and Humanities · National industry | 2,120 | $38,890 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 2,110 | $53,990 |
| Educational Services · Sector | 1,990 | $68,500 |
| Services for the Elderly and Persons with Disabilities · National industry | 1,710 | $66,410 |
| Other Services (except Public Administration) · Sector | 1,350 | $50,560 |
| Management of Companies and Enterprises · Sector | 1,330 | $76,330 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1,000 | $58,130 |
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 |
|---|---|---|
| Outpatient Mental Health and Substance Abuse Centers · National industry | 90.8× | 22,960 |
| Offices of Mental Health Practitioners (except Physicians) · National industry | 80.82× | 15,960 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 50.42× | 10,650 |
| Research and Development in the Social Sciences and Humanities · National industry | 42.71× | 2,120 |
| Residential Intellectual and Developmental Disability Facilities · National industry | 6.64× | 2,110 |
| Health Care and Social Assistance · Sector | 5.26× | 99,310 |
| Services for the Elderly and Persons with Disabilities · National industry | 0.87× | 1,710 |
| Management of Companies and Enterprises · Sector | 0.58× | 1,330 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Mental Health and Substance Abuse Social Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 53rd percentile of 427 international occupations.
Mental Health and Substance Abuse Social Workers show 57th-percentile AI task overlap — and about 13,500 annual U.S. openings
Mental Health and Substance Abuse Social Workers show 57th-percentile AI task overlap — and about 13,500 annual U.S. openings • Mental Health and Substance Abuse Social Workers rank in the 57th 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 13,500 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 growing fast (+9.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $60,060, across about 125,910 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 52% 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 — "Mental Health and Substance Abuse Social Workers". https://singulariki.com/roles/role-21-1023-00 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.
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.
Singulariki. "Mental Health and Substance Abuse Social Workers." 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-21-1023-00
Singulariki. (2026). Mental Health and Substance Abuse Social Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-21-1023-00
@misc{singulariki-role-21-1023-00,
title = {Mental Health and Substance Abuse Social Workers},
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-21-1023-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.