Will AI replace vocational teachers?
Part of the work, not the whole job. AI could take on about 45% of the working time in a typical vocational teacher job today. The other 55% still needs a person.
55% of the work still needs a person.
The bracket under the bar is the evidence range for the share AI could take on: 30 to 45%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.
20 responsibilities in a typical vocational teacher job. Median pay $63,820 a year in the U.S. (BLS, May 2025).
Still needs a person
- Supervise students using tools and equipment
- Lecture and lead class discussions
- Supervise labs, projects, and placements
- Maintain and repair lab equipment
- Run hands-on training sessions
- Give and grade tests AI helps
AI can do or help with
- Evaluate student work and give feedback AI helps
- Give one-on-one tutoring and help AI helps
- Assess student training needs AI helps
- Keep grades and training records AI helps
- Blend academic and vocational curricula AI helps
- Give and grade tests AI helps
The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 20, with the reason for each and the cost of handing them to AI.
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Questions people ask
Will AI replace vocational teachers?
Part of the work, not the whole job. AI could take on about 45% of the working time in a typical vocational teacher job today. The other 55% still needs a person. That is a split of the work, not a forecast of jobs lost.
Which parts of the job can AI do?
The biggest ones AI can do or help with: evaluate student work and give feedback, give one-on-one tutoring and help, assess student training needs, keep grades and training records, blend academic and vocational curricula, give and grade tests.
Which parts still need a person?
The biggest ones: supervise students using tools and equipment, lecture and lead class discussions, supervise labs, projects, and placements, maintain and repair lab equipment, run hands-on training sessions, give and grade tests.
How is this measured?
The U.S. Department of Labor lists 20 responsibilities for this job (O*NET 31.0). Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 30 to 45%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.8.2, updated November 2, 2026.
Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.
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