52
/100

SOC 25-1071

Health Specialties Teachers, Postsecondary

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

229,720

Total workers

Median Wage

๐Ÿ’ฐ

$106K

$52K โ€“ $0

Projected Growth

๐Ÿ“ˆ

+17.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Health Specialties Teachers, Postsecondary face a risk score of 52/100 โ€” 8 points above the national average of 44. With 95/100 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 $106K ($59K above the national median). 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 52/100, Health Specialties Teachers, Postsecondary faces moderate automation pressure. While tasks like generative ai producing marketing and creative copy are increasingly handled by AI, the role retains significant human elements. The 229,720 workers in this occupation should focus on strengthening skills in mentoring students through personal and academic challenges and developing creative and engaging hands-on lessons to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Health Specialties Teachers, Postsecondary?

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

โš ๏ธ Top Risk Factors

1

Generative AI producing marketing and creative copy

2

AI-powered research and literature review tools

3

Automated grading and assessment tools

4

Virtual classroom platforms reducing instructor demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Mentoring students through personal and academic challenges

โœ“

Developing creative and engaging hands-on lessons

โœ“

Adapting instruction to individual learning needs in real-time

โœ“

Managing classroom dynamics and student behavior

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

Prepare course materials, such as syllabi, homework assignments, and handouts.

โ€ข

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

โ€ข

Evaluate and grade students' class work, assignments, and papers.

โ€ข

Supervise laboratory sessions.

โ€ข

Compile, administer, and grade examinations, or assign this work to others.

๐Ÿ’ป Technology Skills

โ€ข

Computer based training software

โ€ข

Data base user interface and query software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

โ€ข

Medical software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Education and Training

โ€ข

English Language

โ€ข

Biology

โ€ข

Medicine and Dentistry

โ€ข

Psychology

๐Ÿ“Š vs National Average

Median Wage$106K
+$59K

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth17.3%
+13.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K63%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K57%
Architectural and Engineering Managers23$168K63%