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Physical Education Teachers

Education & Traininglowaugment
BLS 2024-34: +4%
Median Wage: $52,870
Employment: 138K

Overall Exposure

22

2025 vs 2023

Theoretical Exposure

36

What AI could do

Observed Exposure

8

What AI actually does

Automation Risk Score

10

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

22โ†’34
+12

2025 โ†’ 2028 (estimated)

Theoretical Exposure

36โ†’48
+12

2025 โ†’ 2028 (estimated)

Observed Exposure

8โ†’20
+12

2025 โ†’ 2028 (estimated)

Automation Risk

10โ†’16
+6

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
2024183258actual
20252236810estimated
202626401212estimated
202730441614estimated
202834482016estimated

Task Breakdown

Create lesson plans and fitness assessments
45%ฮฒ 1
Demonstrate and coach physical activities
5%ฮฒ 0
Track student progress and grade performance
58%ฮฒ 1

About This Occupation

If you work as a Physical Education Teacher, AI is augmenting your planning and administrative tasks while hands-on coaching remains human-driven. With an automation risk of 10/100 and overall exposure at 22%, this role faces low transformation. Lesson planning sees 45% automation. BLS projects +4% growth through 2034.

Frequently Asked Questions

With an automation risk score of 10%, Physical 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 Physical Education Teachers is 10% (2025 data). Overall AI exposure is 22%, with 36% theoretical exposure and 8% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Physical Education Teachers are: Track student progress and grade performance (58%), Create lesson plans and fitness assessments (45%), Demonstrate and coach physical activities (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 +4% employment change for Physical Education Teachers from 2024 to 2034. Combined with an overall AI exposure of 22%, 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 Physical 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.