37
/100

SOC 25-3021

Self-Enrichment Teachers

ModerateFrey/Osborne: 13.0%

Risk Score

โš ๏ธ

37/100

Moderate

US Employment

๐Ÿ‘ฅ

308,520

Total workers

Median Wage

๐Ÿ’ฐ

$46K

$29K โ€“ $91K

Projected Growth

๐Ÿ“ˆ

+3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

67/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Self-Enrichment Teachers face a risk score of 37/100 โ€” 7 points below 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 37/100, Self-Enrichment Teachers faces moderate automation pressure. While tasks like ai tutoring systems providing personalized instruction are increasingly handled by AI, the role retains significant human elements. The 308,520 workers in this occupation should focus on strengthening skills in mentoring students through personal and academic challenges and inspiring and motivating students through personal connection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Self-Enrichment Teachers?

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

โš ๏ธ Top Risk Factors

1

AI tutoring systems providing personalized instruction

2

Virtual classroom platforms reducing instructor demand

3

Automated data interpretation and insight generation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Mentoring students through personal and academic challenges

โœ“

Inspiring and motivating students through personal connection

โœ“

Adapting instruction to individual learning needs in real-time

โœ“

Developing creative and engaging hands-on lessons

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

Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations.

โ€ข

Adapt teaching methods and instructional materials to meet students' varying needs and interests.

โ€ข

Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks.

โ€ข

Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics.

โ€ข

Maintain accurate and complete student records as required by administrative policy.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Web page creation and editing software

โ€ข

Graphics or photo imaging software

โ€ข

Data base user interface and query software

โ€ข

Computer based training software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Education and Training

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Sociology and Anthropology

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$46K
$-720

National avg: $46K

Risk Score37/100
-7

National avg: 44/100

GenAI Exposure67/100
+29

National avg: 38/100

Projected Growth3.7%
0.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K75%
Postsecondary Teachers, All Other22$78K75%
Teachers and Instructors, All Other23$65K73%