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# Will criminal justice professors be replaced by AI?

Updated October 2026

Criminal justice professors score 45 out of 100 for AI exposure. AI helps with 51% of their task time, and they stay in charge. AI can do another 15%. 34% needs a person.

-   **15%** AI can do it
-   **51%** AI helps
-   **34%** Needs a person

Moderate exposure

Higher than 63% 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. Attendance and grade records are routine digital data entry. | 70% AI can do it |
| Prepare course materials, such as syllabi, homework assignments, and handouts. AI drafts syllabi, assignments and handouts; instructor edits. | 70% AI can do it |
| Compile bibliographies of specialized materials for outside reading assignments. AI search compiles bibliographies; instructor verifies citations. | 65% AI can do it |
| Write letters of recommendation for students. AI drafts recommendation letters; instructor adds personal knowledge. | 55% AI helps |
| Write grant proposals to procure external research funding. AI drafts grant narratives and budgets; investigator shapes strategy. | 55% AI helps |

## How criminal justice professors compare

All jobs (923)

Educational instruction and library (62)

The dark line is **criminal justice professors, at 45**. 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

$76,590 a year, May 2025

People employed

13,150 in the US, May 2025

Projected change in jobs

+1.5% from 2024 to 2034

## Skills to build

-   Facilitate live seminar discussions on policing and corrections cases
-   Audit AI-drafted grades and attendance entries in the LMS
-   Verify AI-compiled bibliographies against library databases and citations
-   Write grant narratives and budgets for external research funding
-   Hold scheduled office hours for academic and career advising
-   Write recommendation letters with firsthand knowledge of each student

## Safer roles nearby

5 related jobs with lower scores.

-   [Sociology professors44 out of 100](https://www.aigentcy.com/ai-exposure/sociology-professors/)
-   [Social work professors44 out of 100](https://www.aigentcy.com/ai-exposure/social-work-professors/)
-   [University administrators43 out of 100](https://www.aigentcy.com/ai-exposure/university-administrators/)
-   [High school teachers41 out of 100](https://www.aigentcy.com/ai-exposure/high-school-teachers/)
-   [High school special education teachers42 out of 100](https://www.aigentcy.com/ai-exposure/high-school-special-education-teachers/)

## Questions about criminal justice professors and AI

Will AI replace criminal justice professors?

Partly. About 4 in 10 working hours go to tasks AI can already do, mostly maintaining attendance and grade records and preparing syllabi, handouts and assignments. Live seminar discussion, office hours and student advising stay with professors because they need a person in the room and real-time judgement.

Which criminal justice professor tasks is AI taking over?

Record keeping leads, with an exposure score of 70, because attendance and grade entries are routine digital data entry. Syllabus and handout drafting also scores 70, since AI drafts the material and the instructor edits it. Bibliography compilation scores 65, because AI search builds the reference list and the professor verifies each citation.

Which criminal justice professor tasks stay human?

Live classroom discussion scores 12 on exposure, because facilitating discussion depends on real-time interaction with students. Office hours also score 12, since one-to-one advising needs personal judgement and trust. Participating in campus and community events scores 5 because it requires physical presence.

How can criminal justice professors stay valuable?

Shift time toward live teaching and checking AI output. Lead seminar debates on cases, policing and corrections policy, which scores 12 on exposure. Use the LMS and Microsoft Excel to check every AI-generated grade before it posts. Verify each AI-compiled bibliography against the source. Put agency fieldwork into grant narratives and recommendation letters, where only your knowledge of the student adds value.

## Related jobs

-   [Law professors45 out of 100](https://www.aigentcy.com/ai-exposure/law-professors/)
-   [Political science professors45 out of 100](https://www.aigentcy.com/ai-exposure/political-science-professors/)
-   [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/)
-   [Library science professors49 out of 100](https://www.aigentcy.com/ai-exposure/library-science-professors/)

## Next steps for criminal justice 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 criminal justice professors, and what they cost.
    
    [Estimate what AI saves a team of criminal justice professors](https://www.aigentcy.com/tools/team-ai-audit/?role=criminal-justice-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.
