Healthcare social workers
SOC Code: 21-1022
Healthcare social workers carries a 18% AI exposure score (Low automation risk), with a median annual wage of $68,090 and +7.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 193,200 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 18% AI exposure, Healthcare 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.
Career outlook score
82/100
Healthcare 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 B- $68,090
Annual median wage, percentile rank vs all tracked occupations
- Projected growth A +7.7%
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
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).
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 Healthcare social workers in the Low band.
Credential × growth standing
Graduate credential among the thinner entry shelves
Healthcare social workers is in the Graduate band (113 of 832) with BLS pace Average (378/832). Graduate entry is a minority shelf - pairing it with average growth is the standing that separates this SOC from bachelor-dominated neighbors.
Where Healthcare 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 Healthcare 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.
Healthcare social workers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Healthcare social workers is marked in rose; the top-left corner is the most future-proof.
Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).
Employment Projections
Where This Score Comes From
Healthcare 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 21-1022) 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 Healthcare 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 Healthcare social workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Advocate for clients or patients to resolve crises.
- 2. Educate clients about end-of-life symptoms and options to assist them in making informed decisions.
- 3. Collaborate with other professionals to evaluate patients' medical or physical condition and to assess client needs.
- 4. Investigate child abuse or neglect cases and take authorized protective action when necessary.
- 5. Refer patient, client, or family to community resources to assist in recovery from mental or physical illness and to provide access to services such as financial assistance, legal aid, housing, job placement or education.
- 6. Utilize consultation data and social work experience to plan and coordinate client or patient care and rehabilitation, following through to ensure service efficacy.
- 7. Monitor, evaluate, and record client progress according to measurable goals described in treatment and care plan.
- 8. Identify environmental impediments to client or patient progress through interviews and review of patient records.
- 9. Counsel clients and patients in individual and group sessions to help them overcome dependencies, recover from illness, and adjust to life.
- 10. Plan discharge from care facility to home or other care facility.
Key Skills Required
- Social Perceptiveness
- Speaking
- Service Orientation
- Reading Comprehension
- Active Listening
- Critical Thinking
- Coordination
- Writing
- Complex Problem Solving
- Active Learning
Knowledge Areas
- Psychology
- Therapy and Counseling
- Sociology and Anthropology
- English Language
- Customer and Personal Service
- Education and Training
- Philosophy and Theology
- Administrative
- Law and Government
- Administration and Management
Frequently Asked Questions
Will AI replace Healthcare social workers?
Healthcare 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 Healthcare social workers?
According to BLS Employment Projections 2024-2034, Healthcare social workers is projected to grow by 7.7% over the decade. Current employment stands at approximately 193,200 workers.
What skills are needed for Healthcare social workers?
Key skills for Healthcare social workers include Social Perceptiveness, Speaking, Service Orientation, and others. Typical entry-level education is Master's degree.
How much do Healthcare social workers earn?
The median annual wage for Healthcare social workers is $68,090, 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 Healthcare social workers?
The typical entry-level education for Healthcare 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 Healthcare social workers?
Healthcare 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
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 Healthcare 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).
- Electrical power-line installers and repairers · AI exposure 18%
- Engine and other machine assemblers · AI exposure 18%
- Glaziers · AI exposure 18%
- Mechanical door repairers · AI exposure 18%
Similar projected growth (2024–2034)
Nearest BLS employment change rates nationwide (+7.7% here).
- Agricultural equipment operators · growth +7.7%
- Entertainment and recreation managers, except gambling · growth +7.7%
- Septic tank servicers and sewer pipe cleaners · growth +7.6%
- Web developers · growth +7.5%
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.
Related Occupations
Showing 6 of 43 occupations with a comparable automation-risk profile.
What to do with this
Use Healthcare social workers' numbers above to compare, not just read in isolation.
- Compare Healthcare social workers side by side against another occupation on wage, growth, and AI exposure. Workforce comparison tool
- Understand how the AI exposure score above is actually calculated before treating it as a verdict. Reading AI exposure scores
- See the full ranked list of occupations with the lowest automation exposure nationwide. Safest occupations from AI
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).