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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Criminal Justice and Law Enforcement Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Criminal justice professors are "Somewhat Resilient" because while AI is genuinely changing how they do their jobs, the heart of what they do — mentoring students, modeling ethical judgment, and teaching people to think critically about justice and bias — still requires a human in the room. Routine tasks like building syllabi, creating quizzes, and summarizing documents are already being handled faster with AI tools, which means the job is shifting rather than disappearing.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Criminal justice professors are "Somewhat Resilient" because while AI is genuinely changing how they do their jobs, the heart of what they do — mentoring students, modeling ethical judgment, and teaching people to think critically about justice and bias — still requires a human in the room. Routine tasks like building syllabi, creating quizzes, and summarizing documents are already being handled faster with AI tools, which means the job is shifting rather than disappearing.
Read full analysisAnalysis of Current AI Resilience
CJ/Law Enforcement Prof.
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting — not replacing — postsecondary criminal justice instructors. Tools like ChatGPT are helping professors draft syllabi, build reading lists, design quizzes, and even adapt curricula faster than before. A study in the Journal of Criminal Justice Education looked at educators' ability to identify AI-generated student submissions [1], highlighting that detecting AI work has become a real classroom task, and a companion paper examined perceptions and use of generative AI among criminal justice students [1].
On the administrative side — picking textbooks, helping with registration, or summarizing committee documents — chatbots can speed things up, which lines up with the higher automation scores for those routine tasks. But uniquely human duties like advising student clubs and serving on policy committees are barely touched. A recent CSU systemwide survey of more than 94,000 students, faculty, and staff [2] found 95% of students use AI tools, yet faculty remain split on whether AI helps or hurts teaching — proving humans still drive the big decisions.

Adoption is moving quickly in some places and slowly in others. On the fast side, colleges like DeVry, Agnes Scott, and the University of Richmond are embedding AI literacy across courses and required first-year experiences [3], and educators are being urged to redesign 2026 classrooms around AI-powered, personalized learning [4]. What slows things down in criminal justice specifically is the field's deep concern about ethics, bias, and constitutional rights — a Stanford Law analysis warns that AI is being woven into high-stakes justice decisions without enough governance [5], meaning instructors must teach students to question these tools, not just use them.
That critical-thinking mission keeps human teachers central. The takeaway for you: skills like ethical reasoning, mentorship, and judgment — exactly what criminal justice professors model — are the ones AI can't replicate.

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They teach college students about laws, crime, and justice, helping them understand how legal systems work and preparing them for careers in law enforcement.
Median Wage
$71,470
Jobs (2024)
16,200
Growth (2024-34)
+2.0%
Annual Openings
1,200
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Act as advisers to student organizations.
Compile bibliographies of specialized materials for outside reading assignments.
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
Write grant proposals to procure external research funding.
Initiate, facilitate, and moderate classroom discussions.
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
Perform administrative duties such as serving as department head.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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