Low AI Risk Fast Growth

Mental health and substance abuse social workers

SOC Code: 21-1023

Mental health and substance abuse social workers carries a 18% AI exposure score (Low automation risk), with a median annual wage of $60,060 and +9.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 136,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
18% Low
Low exposure

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

Projected Growth
+9.7%
Top 10% growth
2024–2034 (BLS)
+13,300 jobs
Median Annual Wage
$60,060
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 18% AI exposure, Mental health and substance abuse social workers sits 19 points below the 37.2% average across 832 U.S. occupations - more exposed than 4% of them. It ranks among the more AI-resilient roles in the dataset.

18%
AI exposure
4th
percentile
+9.7%
Job growth 2024–34
$60,060
Median wage
A-

Career outlook score

80/100

Mental health and substance abuse social workers, weighted across 3 of 3 tracked dimensions

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.

  • Median wage C- $60,060

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth A+ +9.7%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A+ 18% 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 Mental health and substance abuse social workers in the Low band.

Credential × growth standing

Graduate credential among the thinner entry shelves

Mental health and substance abuse social workers is in the Graduate band (113 of 832) with BLS pace Fast growth (67/832). Graduate entry is a minority shelf - pairing it with fast growth growth is the standing that separates this SOC from bachelor-dominated neighbors.

Where Mental health and substance abuse social workers sits among all occupations

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

Where Mental health and substance abuse social workers sits by AI exposure

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

18% Among the lowest lower than 96% 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.

Mental health and substance abuse social workers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Mental health and substance abuse social workers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk16.9%23.2%29.5%35.8%42.1%0%4.4%8.8%13.2%17.6%AI exposure (%) →Projected growth (%) →Substance abuse, AI exposure (%) →: 35% · Projected growth (%) →: 16.8%Substance abuseSocial, AI exposure (%) →: 39% · Projected growth (%) →: 6.4%SocialChild, AI exposure (%) →: 26% · Projected growth (%) →: 3.4%ChildEducational, AI exposure (%) →: 41% · Projected growth (%) →: 3.5%EducationalClergy, AI exposure (%) →: 19% · Projected growth (%) →: 1%ClergyHealthcare social wo, AI exposure (%) →: 18% · Projected growth (%) →: 7.7%Healthcare social woDirectors, AI exposure (%) →: 31% · Projected growth (%) →: 2.1%DirectorsMental health, AI exposure (%) →: 18% · Projected growth (%) →: 9.7%Mental healthCommunity, AI exposure (%) →: 35% · Projected growth (%) →: 4.6%CommunityProbation officers, AI exposure (%) →: 36% · Projected growth (%) →: 2.6%Probation officersRehabilitation couns, AI exposure (%) →: 41% · Projected growth (%) →: 1.4%Rehabilitation couns

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

Employment Projections

136,800
Employment 2024
150,100
Projected 2034
+9.7%
Change (%)
+13,300
Change (jobs)

Where This Score Comes From

Mental health and substance abuse social workers's Low 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 21-1023) 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 Mental health and substance abuse social workers 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 Mental health and substance abuse social workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
Master's degree
Work Experience
None
On-the-Job Training
Internship/residency

Top Tasks (O*NET)

  1. 1. Counsel clients in individual or group sessions to assist them in dealing with substance abuse, mental or physical illness, poverty, unemployment, or physical abuse.
  2. 2. Collaborate with counselors, physicians, or nurses to plan or coordinate treatment, drawing on social work experience and patient needs.
  3. 3. Monitor, evaluate, and record client progress with respect to treatment goals.
  4. 4. Interview clients, review records, conduct assessments, or confer with other professionals to evaluate the mental or physical condition of clients or patients.
  5. 5. Supervise or direct other workers who provide services to clients or patients.
  6. 6. Modify treatment plans according to changes in client status.
  7. 7. Assist clients in adhering to treatment plans, such as setting up appointments, arranging for transportation to appointments, or providing support.
  8. 8. Educate clients or community members about mental or physical illness, abuse, medication, or available community resources.
  9. 9. Counsel or aid family members to assist them in understanding, dealing with, or supporting the client or patient.
  10. 10. Increase social work knowledge by reviewing current literature, conducting social research, or attending seminars, training workshops, or classes.

Key Skills Required

  • Social Perceptiveness
  • Active Listening
  • Speaking
  • Reading Comprehension
  • Critical Thinking
  • Monitoring
  • Coordination
  • Service Orientation
  • Complex Problem Solving
  • Writing

Knowledge Areas

  • Therapy and Counseling
  • Psychology
  • English Language
  • Customer and Personal Service
  • Education and Training
  • Sociology and Anthropology
  • Public Safety and Security
  • Medicine and Dentistry
  • Philosophy and Theology
  • Administration and Management

Frequently Asked Questions

Will AI replace Mental health and substance abuse social workers?

Mental health and substance abuse social workers has an AI exposure score of 18%, indicating a low 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 Mental health and substance abuse social workers?

According to BLS Employment Projections 2024-2034, Mental health and substance abuse social workers is projected to grow by 9.7% over the decade. Current employment stands at approximately 136,800 workers.

What skills are needed for Mental health and substance abuse social workers?

Key skills for Mental health and substance abuse social workers include Social Perceptiveness, Active Listening, Speaking, and others. Typical entry-level education is Master's degree.

How much do Mental health and substance abuse social workers earn?

The median annual wage for Mental health and substance abuse social workers is $60,060, 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 Mental health and substance abuse social workers?

The typical entry-level education for Mental health and substance abuse social workers is Master's degree. Employers generally expect None of related work experience. On-the-job training typically involves Internship/residency. Requirements can vary by employer and specialization.

Which companies employ Mental health and substance abuse social workers?

Mental health and substance abuse social workers 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

0.9
out of 5.0

Low 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 Mental health and substance abuse social workers: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (18% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+9.7% 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.

What to do with this

Use Mental health and substance abuse social workers' 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.