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# Will kinesiology professors be replaced by AI?

Updated October 2026

Kinesiology professors score 53 out of 100 for AI exposure. AI helps with 53% of their task time, and they stay in charge. AI can do another 15%. 32% needs a person.

-   **15%** AI can do it
-   **53%** AI helps
-   **32%** Needs a person

High exposure

Higher than 81% of the 923 jobs we scored.

## Task by task

We graded 23 tasks, most exposed first. AI can do 3 of them, helps with 12 and leaves 8 to people.

| Task | AI exposure |
| --- | --- |
| Maintain student attendance records, grades, and other required records. Records and gradebook entries are routine digital data work. | 80% AI can do it |
| Prepare course materials, such as syllabi, homework assignments, and handouts. AI drafts syllabi, assignments and handouts well; instructor refines. | 75% AI can do it |
| Compile bibliographies of specialized materials for outside reading assignments. Bibliography compilation is a strong AI task; still verify citations. | 75% AI can do it |
| Evaluate and grade students' class work, assignments, and papers. AI can draft feedback and score written work; teacher verifies. | 60% AI helps |
| Compile, administer, and grade examinations, or assign this work to others. AI can draft exam items and score answers; faculty review. | 60% AI helps |

## How kinesiology professors compare

All jobs (923)

Educational instruction and library (62)

The dark line is **kinesiology professors, at 53**. Each dot is a score, and darker dots mean more jobs share it. The short marks are the averages, 37 for all jobs and 45 for educational instruction and library.

## Pay and outlook in the US

Median pay

$77,270 a year, May 2025

People employed

12,630 in the US, May 2025

Projected change in jobs

+2.2% from 2024 to 2034

## Skills to build

-   Verify AI-compiled bibliography citations against sources in Google Docs
-   Lead live seminar discussions and moderate student debate in class
-   Teach exercise physiology labs with hands-on physical demonstration
-   Audit gradebook and attendance records in Microsoft Excel
-   Write external research grant proposals and maintain funder relationships
-   Advise student organizations and hold in-person office hours

## Safer roles nearby

5 related jobs with lower scores.

-   [Health sciences professors50 out of 100](https://www.aigentcy.com/ai-exposure/health-sciences-professors/)
-   [Family and consumer sciences professors48 out of 100](https://www.aigentcy.com/ai-exposure/family-and-consumer-sciences-professors/)
-   [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/)
-   [Psychology professors52 out of 100](https://www.aigentcy.com/ai-exposure/psychology-professors/)
-   [Environmental science professors48 out of 100](https://www.aigentcy.com/ai-exposure/environmental-science-professors/)

## Questions about kinesiology professors and AI

Will AI replace kinesiology professors?

Partly. About 4 in 10 working hours go to tasks AI can already do, mostly maintaining attendance records and gradebook entries plus preparing course materials such as syllabi and handouts. Live teaching, office hours, and student advising stay with the professor because they depend on a person being present with students.

Which kinesiology professor tasks is AI taking over?

Maintaining student attendance records and grades scores 80 on exposure, the highest in this job, because it is routine digital data work. Preparing syllabi, homework, and handouts scores 75, and compiling bibliographies also scores 75, since AI drafts these well and the professor refines the result.

Which kinesiology professor tasks stay human?

Participating in campus and community events scores 5 on exposure, the lowest in this job, because attending in person is physical presence work. Office hours score 10 and moderating classroom discussions scores 15, since both need live interaction with students and real time reading of the room.

How can kinesiology professors stay valuable as AI spreads?

Verify every AI-generated citation against the original source before it reaches a reading list in your learning management system. Use AI to draft syllabi and exam items, then rewrite them yourself in Microsoft Word. Spend the time saved on lab demonstrations, office hours, and grant proposals, where personal relationships and physical demonstration carry the work.

## Related jobs

-   [Fitness coordinators47 out of 100](https://www.aigentcy.com/ai-exposure/fitness-coordinators/)
-   [Biology professors48 out of 100](https://www.aigentcy.com/ai-exposure/biology-professors/)
-   [Social work professors44 out of 100](https://www.aigentcy.com/ai-exposure/social-work-professors/)
-   [Vocational instructors47 out of 100](https://www.aigentcy.com/ai-exposure/vocational-instructors/)

## Next steps for kinesiology professors

-   ### Check your job
    
    Your job title is a rough guide. Your tasks decide your score. Paste your job description or CV to see which tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    
-   ### Estimate team savings
    
    The score is per person. Add headcount and salary to see the hours AI can take on in a team of kinesiology professors, and what they cost.
    
    [Estimate what AI saves a team of kinesiology professors](https://www.aigentcy.com/tools/team-ai-audit/?role=kinesiology-professors) [Work out the return on automation](https://www.aigentcy.com/tools/ai-savings-calculator/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

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-   [**Jobs A to Z**Every job we score, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Sources and licences

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
