Share and intensity of work current AI systems can materially affect.
SOC 25-1111
Criminal Justice and Law Enforcement Teachers, Postsecondary AI displacement risk
Criminal justice faculty teach criminal law, policing, and investigation techniques to students headed for agencies and courts. AI drafting tools compress lecture prep and grading, but the field's practitioner pipeline, from scenario training to legal procedure to agency partnerships, keeps instruction grounded in practice.
Likely potential for exposed tasks to move to software after workflow integration.
Enrollment follows public-safety hiring, which remains strong. Faculty with practitioner credibility teach the judgment calls, use of force, due process, evidence handling, that agencies will not delegate to software.
Distribution
Where Criminal Justice and Law Enforcement Teachers, Postsecondary sits across 620 tracked roles
Displacement pressure 28 — higher than 43% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
23 O*NET task statements matched to SOC 25-1111. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $76,590 (May 2025, US national). The latest BLS row matched SOC 25-1111.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Criminal Justice and Law Enforcement Teachers, Postsecondary
SOC 25-1111 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 28/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Criminal Justice and Law Enforcement Teachers, Postsecondary
The current evidence import matched 23 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks23
SOC25-1111
- Core task / ID 6197
Prepare and deliver lectures to undergraduate or graduate students on topics such as criminal law, defensive policing, and investigation techniques.
- Core task / ID 6193
Initiate, facilitate, and moderate classroom discussions.
- Core task / ID 6195
Evaluate and grade students' class work, assignments, and papers.
- Core task / ID 6196
Compile, administer, and grade examinations, or assign this work to others.
- Core task / ID 6194
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Core task / ID 6202
Maintain student attendance records, grades, and other required records.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Prepare and deliver lectures on criminal justice
Exposure 54, automation 27%, augmentation 68%.
O*NET evidence: Prepare and deliver lectures to undergraduate or graduate students on topics such as cr... (ID 6197)
Evaluate and grade student work
Exposure 54, automation 30%, augmentation 62%.
O*NET evidence: Evaluate and grade students' class work, assignments, and papers. (ID 6195)
Initiate and moderate classroom discussions
Exposure 30, automation 10%, augmentation 56%.
O*NET evidence: Initiate, facilitate, and moderate classroom discussions. (ID 6193)
Participate in student recruitment and placement
Exposure 28, automation 10%, augmentation 50%.
O*NET evidence: Participate in student recruitment, registration, and placement activities. (ID 6210)
TaskExposureAutomationAugmentation
Prepare and deliver lectures on criminal justice5427%68%
Evaluate and grade student work5430%62%
Initiate and moderate classroom discussions3010%56%
Participate in student recruitment and placement2810%50%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowDepartment Chair
Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 116.
- Lead curriculum redesign
- Manage agency partnerships
- Own program outcomes
role redesign
LowAcademy Training Director
Training horizon: 6-12 months. Skill overlap 70. Wage preservation signal 114.
- Run scenario programs
- Certify recruits
- Advise agency leadership
Comparison guides
Compare the next move before you commit
12-24 months
Criminal Justice and Law Enforcement Teachers, Postsecondary to Department Chair
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Criminal Justice and Law Enforcement Teachers, Postsecondary into Department Chair.
6-12 months
Criminal Justice and Law Enforcement Teachers, Postsecondary to Academy Training Director
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Criminal Justice and Law Enforcement Teachers, Postsecondary into Academy Training Director.
What the AI risk score means for Criminal Justice and Law Enforcement Teachers, Postsecondary
The displacement pressure score for Criminal Justice and Law Enforcement Teachers, Postsecondary is 28. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Evaluate and grade student work carries 30% automation pressure, while Prepare and deliver lectures on criminal justice carries 68% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $76,590 (May 2025, US national). Employment context: Faculty role feeding the practitioner pipeline. Typical education: Doctoral degree typical.
Wage vulnerability is 30, while transition feasibility is 71. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Agency hiring drives enrollment
- Scenario judgment stays human-taught
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Criminal Justice and Law Enforcement Teachers, Postsecondary, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Legal instruction
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Scenario facilitation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Practitioner advising
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Curriculum design
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Department Chair, such as lead curriculum redesign.
- By 90 days, compare internal openings and external postings for Department Chair or Academy Training Director and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Criminal Justice and Law Enforcement Teachers, Postsecondary
Will AI replace Criminal Justice and Law Enforcement Teachers, Postsecondary?
Criminal justice faculty teach criminal law, policing, and investigation techniques to students headed for agencies and courts. AI drafting tools compress lecture prep and grading, but the field's practitioner pipeline, from scenario training to legal procedure to agency partnerships, keeps instruction grounded in practice. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Criminal Justice and Law Enforcement Teachers, Postsecondary work are most exposed to AI?
Evaluate and grade student work and Prepare and deliver lectures on criminal justice show the strongest automation pressure in this model. Prepare and deliver lectures on criminal justice and Evaluate and grade student work are better treated as AI-augmented work.
What should Criminal Justice and Law Enforcement Teachers, Postsecondary learn next?
Start with Legal instruction, Scenario facilitation, Practitioner advising. The most practical adjacent paths in this model are Department Chair and Academy Training Director.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics