As of July 2026,
Career/Technical Education Teachers, Secondary School has an AI-exposure score of 48/100
(Moderate exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Career/Technical Education Teachers, Secondary School
More exposed than 26% of the roles we track. Median pay ~US$66,270. About 6,200 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Education roles
What this role usually involves
Teach occupational, vocational, career, or technical subjects to students at the secondary school level.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Career/Technical Education Teachers, Secondary School, SOC 25-2032.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Career/Technical Education Teachers, Secondary School tasks, by AI exposure
No automatable tasks identified for this role - its real, individually-assessed tasks consistently read as durable (75%).
- Maintain accurate and complete student records as required by law, district policy, and administrative regulations.
- Prepare objectives and outlines for courses of study, following curriculum guidelines or requirements of states and schools.
- Prepare materials and classroom for class activities.
- Use computers, audio-visual aids, and other equipment and materials to supplement presentations.
We analyzed all 20 Career/Technical Education Teachers, Secondary School tasks - 5 augmentable and 15 durable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.
Maintain accurate and complete student records as required by law, district policy, and administrative regulations.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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