Career/Technical Education Teachers
Overall Exposure
2025 vs 2023
Theoretical Exposure
47What AI could do
Observed Exposure
12What AI actually does
Automation Risk Score
13Displacement risk
3-Year Outlook (2025 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2024 | 25 | 42 | 8 | 10 | actual |
| 2025 | 29 | 47 | 12 | 13 | estimated |
| 2026 | 34 | 52 | 16 | 16 | estimated |
| 2027 | 38 | 56 | 20 | 19 | estimated |
| 2028 | 42 | 60 | 24 | 22 | estimated |
Task Breakdown
About This Occupation
If you work as a Career/Technical Education Teacher, AI is augmenting your curriculum development and grading tasks. With an automation risk of 13/100 and overall exposure at 29%, this role faces low transformation due to heavy hands-on teaching. BLS projects +2% growth through 2034.
Frequently Asked Questions
With an automation risk score of 13%, Career/Technical Education Teachers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.
The AI automation risk score for Career/Technical Education Teachers is 13% (2025 data). Overall AI exposure is 29%, with 47% theoretical exposure and 12% observed exposure. The risk trend from 2023 to 2025 is 0 points.
The tasks with the highest automation potential for Career/Technical Education Teachers are: Assess student competencies and maintain certification records (52%), Develop curriculum and lesson plans for technical courses (45%), Supervise hands-on laboratory and workshop activities (8%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects +2% employment change for Career/Technical Education Teachers from 2024 to 2034. Combined with an overall AI exposure of 29%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily augments capabilities in this role, professionals in Career/Technical Education Teachers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.