Self-enrichment teachers
SOC Code: 25-3021
Self-enrichment teachers carries a 35% AI exposure score (Medium automation risk), with a median annual wage of $45,590 and +3.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 417,500 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
At 35% AI exposure, Self-enrichment teachers sits 2 points below the 37.2% average across 832 U.S. occupations - more exposed than 46% of them. Most of its core tasks still require human judgment.
Where Self-enrichment teachers sits among all occupations
AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.
Self-enrichment teachers has ai exposure of 35%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.
Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.
Self-enrichment teachers vs. its occupational neighbors
AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Self-enrichment teachers 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
Occupation Insight
Self-enrichment teachers (SOC 25-3021) carries an AI exposure score of 35%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an 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 economic context matters alongside the risk score. BLS counted approximately 417,500 workers in this occupation in 2024, and projects a +3.7% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $45,590, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus Less than 5 years of related experience.
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 Self-enrichment teachers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations.
- 2. Adapt teaching methods and instructional materials to meet students' varying needs and interests.
- 3. Prepare students for further development by encouraging them to explore learning opportunities and to persevere with challenging tasks.
- 4. Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics.
- 5. Maintain accurate and complete student records as required by administrative policy.
- 6. Monitor students' performance to make suggestions for improvement and to ensure that they satisfy course standards, training requirements, and objectives.
- 7. Prepare and administer written, oral, and performance tests, and issue grades in accordance with performance.
- 8. Establish clear objectives for all lessons, units, and projects and communicate those objectives to students.
- 9. Assign and grade class work and homework.
- 10. Prepare instructional program objectives, outlines, and lesson plans.
Key Skills Required
- Speaking
- Active Listening
- Learning Strategies
- Instructing
- Reading Comprehension
- Critical Thinking
- Active Learning
- Monitoring
- Social Perceptiveness
- Writing
Knowledge Areas
- Education and Training
- Customer and Personal Service
- English Language
- Sociology and Anthropology
- Computers and Electronics
- Psychology
- Mathematics
- Foreign Language
- Communications and Media
- Sales and Marketing
Frequently Asked Questions
Will AI replace Self-enrichment teachers?
Self-enrichment teachers has an AI exposure score of 35%, indicating a medium 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 Self-enrichment teachers?
According to BLS Employment Projections 2024-2034, Self-enrichment teachers is projected to grow by 3.7% over the decade. Current employment stands at approximately 417,500 workers.
What skills are needed for Self-enrichment teachers?
Key skills for Self-enrichment teachers include Speaking, Active Listening, Learning Strategies, and others. Typical entry-level education is High school diploma or equivalent.
How much do Self-enrichment teachers earn?
The median annual wage for Self-enrichment teachers is $45,590, 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 Self-enrichment teachers?
The typical entry-level education for Self-enrichment teachers is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.
Which companies employ Self-enrichment teachers?
Self-enrichment teachers 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
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
Related Occupations
Career Guides
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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).