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Secondary School Teachers

Education & Traininglowaugment
BLS 2024-34: +1%
Median Wage: $62,360
Employment: 1.1M

Overall Exposure

24+7

2025 vs 2023

Theoretical Exposure

48

What AI could do

Observed Exposure

14

What AI actually does

Automation Risk Score

20

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

24โ†’28
+4

2025 โ†’ 2028 (estimated)

Theoretical Exposure

48โ†’57
+9

2025 โ†’ 2028 (estimated)

Observed Exposure

14โ†’17
+3

2025 โ†’ 2028 (estimated)

Automation Risk

20โ†’24
+4

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202317351014actual
202421411217actual
202524481420actual
202626511521estimated
202727541623estimated
202828571724estimated

Task Breakdown

Prepare curriculum content
50%ฮฒ 0.5
Grade exams and papers
60%ฮฒ 1
Mentor students
5%ฮฒ 0.5

About This Occupation

If you work as a Secondary School Teachers, AI is reshaping your profession. With an automation risk of 20/100 and overall exposure at 24%, this role faces low transformation. The highest-impact area is grade exams and papers at 60% automation. This is classified as an 'augment' role. BLS projects +1% growth through 2034. Professionals who embrace AI tools will see their capabilities significantly amplified.

Frequently Asked Questions

With an automation risk score of 20%, Secondary School 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 Secondary School Teachers is 20% (2025 data). Overall AI exposure is 24%, with 48% theoretical exposure and 14% observed exposure. The risk trend from 2023 to 2025 is +6 points.

The tasks with the highest automation potential for Secondary School Teachers are: Grade exams and papers (60%), Prepare curriculum content (50%), Mentor students (5%). 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 +1% employment change for Secondary School Teachers from 2024 to 2034. Combined with an overall AI exposure of 24%, 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 Secondary School 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.

Recent AI Impact Changes

Mar 2026: New evergreen blog post published analyzing AI impact on high school teaching with 24% exposure and 20% automation risk

[Source: AI Changing Work Blog]

Mar 2026: Published blog posts analyzing AI impact on math and science teachers: 20% risk, 24% exposure. AI tutors solve problems but teaching mathematical/scientific thinking requires humans.

[Source: AI Changing Work Blog]