65
/100

SOC 31-9099

Healthcare Support Workers, All Other

High RiskFrey/Osborne: 86.0%

Risk Score

โš ๏ธ

65/100

High Risk

US Employment

๐Ÿ‘ฅ

103,650

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$32K โ€“ $68K

Projected Growth

๐Ÿ“ˆ

+3.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Healthcare Support Workers, All Other face a risk score of 65/100 โ€” 21 points above the national average of 44. With 67/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $46K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 65/100, Healthcare Support Workers, All Other faces moderate automation pressure. While tasks like automated patient scheduling and intake systems are increasingly handled by AI, the role retains significant human elements. The 103,650 workers in this occupation should focus on strengthening skills in compassionate hands-on patient care and comfort and adapting to individual patient emotional needs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Healthcare Support Workers, All Other?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated patient scheduling and intake systems

2

Large language model automation of analysis tasks

3

Generative AI producing marketing and creative copy

4

AI-generated written content replacing manual drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Compassionate hands-on patient care and comfort

โœ“

Adapting to individual patient emotional needs

โœ“

Physical repositioning and mobility assistance

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Document clients' progress toward meeting established treatment objectives.

โ€ข

Implement treatment plans or protocols as directed by speech-language pathologists.

โ€ข

Collect and compile data to document clients' performance or assess program quality.

โ€ข

Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities.

โ€ข

Assist speech-language pathologists in the remediation or development of speech and language skills.

๐Ÿ’ป Technology Skills

โ€ข

Music or sound editing software

โ€ข

Medical software

โ€ข

Electronic mail software

โ€ข

Analytical or scientific software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Therapy and Counseling

โ€ข

Psychology

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$46K
$-260

National avg: $46K

Risk Score65/100
+21

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth3.5%
-0.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Occupational Therapy and Physical Therapist Assistants and Aides23$62K84%
Dentists, All Other Specialists13$226K54%
Social Workers, All Other22$69K51%