Headline risk
36%
High RiskAdult basic education, adult secondary education, and english as a second language instructors
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Teach or instruct out-of-school youths and adults in basic education, literacy, or English as a Second Language classes, or in classes for earning a high school equivalency credential.
Task evidence
99% weighted task match · 19% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 59,950
Employment 2024
40.9K
Projected Change (2024–34)
-13.7%
Openings (2024–34)
3.9K
Wage distribution
Demand outlook
Employment of adult basic and secondary education and ESL teachers is projected to grow 14 percent from 2024 to 2034, decline.
Role Profile
Tasks
- 1. Observe and evaluate students' work to determine progress and make suggestions for improvement. AI use: 89%
- 2. Observe students to determine qualifications, limitations, abilities, interests, and other individual characteristics. AI use: 0%
- 3. Establish clear objectives for all lessons, units, and projects and communicate those objectives to students. AI use: 0%
- 4. Adapt teaching methods and instructional materials to meet students' varying needs, abilities, and interests. AI use: 72%
- 5. Instruct students individually and in groups, using various teaching methods, such as lectures, discussions, and demonstrations. AI use: 0%
- 6. Prepare materials and classrooms for class activities. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 43.4 · 790K employed
Under 25: 4% · 25–54: 75% · 55+: 22%
Related
Systems Analyst →
Estimated modern role scored with US data
Business Analyst →
Estimated modern role scored with US data
Cloud Architect →
Estimated modern role scored with US data
Solutions Engineer →
Estimated modern role scored with US data
Technical Product Manager →
Estimated modern role scored with US data
AI Product Manager →
Estimated modern role scored with US data
Data Analyst →
Estimated modern role scored with US data
Data Architect →
Estimated modern role scored with US data
Product Manager →
Estimated modern role scored with US data
Sales Engineer →
Estimated modern role scored with US data
Startup CTO →
Estimated modern role scored with US data
Technical Writer →
Estimated modern role scored with US data
AI Engineer →
Estimated modern role scored with US data
QA Engineer →
Estimated modern role scored with US data
RevOps Manager →
Estimated modern role scored with US data
Startup Founder / CEO →
Estimated modern role scored with US data
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Adult basic and secondary education and ESL (English as a Second Language) teachers instruct adults in fundamental skills, such as reading and speaking English. They also help students earn their high school equivalency credential.
Adult basic and secondary education and ESL teachers are often employed by community colleges, community-based organizations, and public schools. Part-time work is common.
Adult basic and secondary education and ESL teachers who work in public schools typically need at least a bachelor’s degree and a license or certification.
The median annual wage for adult basic and secondary education and ESL teachers was $59,950 in May 2024.
Employment of adult basic and secondary education and ESL teachers is projected to grow 14 percent from 2024 to 2034, decline.
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.