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# Will AI replace professors?

Updated October 2026

Health sciences professors score 50 of 100 for AI exposure. The largest share of their task time, 55%, is work AI speeds up while they stay in charge. AI can take over 13% outright, and 32% stays with people.

-   **13%** AI can do it
-   **55%** AI helps
-   **32%** Needs a person

High exposure

Higher than 75% of the 923 occupations we scored.

## Task by task

We graded 22 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 12 and leaves 7 to people.

| Task | AI exposure |
| --- | --- |
| Maintain student attendance records, grades, and other required records. Routine record keeping that LMS and AI tools handle well. | 80% AI can do it |
| Compile bibliographies of specialized materials for outside reading assignments. AI compiles reading lists; instructor verifies every citation. | 68% AI can do it |
| Prepare course materials, such as syllabi, homework assignments, and handouts. AI drafts syllabi and handouts well; instructor reviews content. | 65% AI can do it |
| Evaluate and grade students' class work, assignments, and papers. AI drafts feedback and scores essays; instructor confirms grades. | 62% AI helps |
| Compile, administer, and grade examinations, or assign this work to others. AI drafts question banks and grades objective items; instructor validates. | 60% AI helps |

## How health sciences professors compare

All occupations (923)

Educational instruction and library (62)

**Health sciences professors score 50**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 45 for educational instruction and library.

## Pay and outlook in the US

Median pay

$107,310 a year, May 2025

People employed

221,270 in the US, May 2025

Projected change in jobs

+17.9% from 2024 to 2034

## Skills to build

-   Verify AI-compiled bibliographies against primary sources
-   Review AI-drafted syllabi and handouts for clinical accuracy
-   Confirm grades and feedback in the LMS before release
-   Analyze course outcomes in IBM SPSS Statistics or SAS
-   Supervise laboratory sessions with practical safety oversight
-   Mentor graduate students in person through research and internships

## Safer roles nearby

5 related occupations with lower scores.

-   [Nursing professors46 out of 100](https://www.aigentcy.com/ai-exposure/nursing-professors/)
-   [Biology professors48 out of 100](https://www.aigentcy.com/ai-exposure/biology-professors/)
-   [Clinical nurse specialists45 out of 100](https://www.aigentcy.com/ai-exposure/clinical-nurse-specialists/)
-   [Family and consumer sciences professors48 out of 100](https://www.aigentcy.com/ai-exposure/family-and-consumer-sciences-professors/)
-   [Vocational instructors47 out of 100](https://www.aigentcy.com/ai-exposure/vocational-instructors/)

## Questions about health sciences professors and AI

Will professors be replaced by AI?

Partly. About 4 in 10 working hours go to tasks AI can already do, mostly maintaining records and compiling bibliographies. Routine record keeping and reading lists are the tasks AI handles best. Live teaching, lab supervision, and mentoring stay with people because they need a person in the room.

Which tasks is AI taking over for health sciences professors?

Maintaining attendance records, grades, and other required records scores 80 on exposure, the highest in this job, because the LMS and AI tools handle routine entries well. Compiling bibliographies scores 68 and drafting syllabi and handouts scores 65, since AI produces the first draft and the professor reviews it.

Which tasks stay human for health sciences professors?

Supervising laboratory sessions scores 10 on exposure because it needs physical presence and practical safety oversight. Leading classroom discussions scores 15, and supervising teaching, internship, and research work scores 18, because mentoring people in person is mostly human work.

How do health sciences professors stay valuable as AI spreads?

Check every AI-compiled citation against the source before it reaches a reading list. Review grades and AI-drafted feedback in your LMS before release. Use SAS or IBM SPSS Statistics to analyze course outcomes, then lead the curriculum revisions yourself.

## Related jobs

-   [Health education specialists57 out of 100](https://www.aigentcy.com/ai-exposure/health-education-specialists/)
-   [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/)
-   [Healthcare managers50 out of 100](https://www.aigentcy.com/ai-exposure/healthcare-managers/)
-   [Preventive medicine physicians45 out of 100](https://www.aigentcy.com/ai-exposure/preventive-medicine-physicians/)

## Next steps for health sciences professors

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your 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/)
    

### 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/)

## Related topics

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-   [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
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-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

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.
