Will AI replace Recreation and Fitness Studies Teachers, Postsecondary?
AI reaches most of this job’s work.
62/100
Very high exposure
More exposed to AI than 94% of US workers.
- AI already used in
- 37% of the work
- As AI tools mature: up to
- 88% of the work
What the job involves
Teach courses pertaining to recreation, leisure, and fitness studies, including exercise physiology and facilities management. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(10)
- Evaluate and grade students' class work, assignments, and papers.
- Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Compile, administer, and grade examinations, or assign this work to others.
- Advise students on academic and vocational curricula and on career issues.
and 5 more
Within reach(10)
- Prepare course materials, such as syllabi, homework assignments, and handouts.
- Maintain student attendance records, grades, and other required records.
- Maintain regularly scheduled office hours to advise and assist students.
- Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
- Collaborate with colleagues to address teaching and research issues.
and 5 more
Out of reach(3)
- Initiate, facilitate, and moderate classroom discussions.
- Participate in campus and community events.
- Prepare students to act as sports coaches.
Also called
Fitness Studies Teacher · Physical Education Instructor (PE Instructor) · PE Instructor · Physical Education Teacher (PE Teacher) · PE Teacher · Health and Physical Education Professor (HPE Professor) · Kinesiology Professor · Physical Education Professor (PE Professor)
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics