SOC 33-1012

Police Supervisors AI displacement risk

Police supervisors coordinate investigations, set schedules, review reports, and handle misconduct complaints. Scheduling and analytics software now drafts rosters and flags crime patterns, but supervisors carry legal responsibility for how their officers' work is conducted — a liability no dashboard absorbs.

Exposure36

Share and intensity of work current AI systems can materially affect.

Automation16%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Distinct from patrol officers: the exposure here is administrative tooling, not the street. Prediction software changes where resources go; accountability for procedure, evidence handling, and personnel conduct stays with the supervisor.

Distribution

Where Police Supervisors sits across 620 tracked roles

Police Supervisors · 20050100

Displacement pressure 20 — higher than 23% 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.

20 O*NET task statements matched to SOC 33-1012. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $106,040 (May 2025, US national). The latest BLS row matched SOC 33-1012.

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 Police Supervisors

SOC 33-1012 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 20/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

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 Police Supervisors

The current evidence import matched 20 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 tasks20
SOC33-1012
  • Core task / ID 566

    Supervise and coordinate the investigation of criminal cases, offering guidance and expertise to investigators, and ensuring that procedures are conducted in accordance with laws and regulations.

  • Core task / ID 574

    Prepare work schedules and assign duties to subordinates.

  • Core task / ID 571

    Direct collection, preparation, and handling of evidence and personal property of prisoners.

  • Core task / ID 567

    Investigate and resolve personnel problems within organization and charges of misconduct against staff.

  • Core task / ID 564

    Explain police operations to subordinates to assist them in performing their job duties.

  • Core task / ID 569

    Maintain logs, prepare reports, and direct the preparation, handling, and maintenance of departmental 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

social

Supervise and coordinate criminal investigations

Exposure 24, automation 9%, augmentation 52%.

O*NET evidence: Supervise and coordinate the investigation of criminal cases, offering guidance and exp... (ID 566)

information

Prepare work schedules and assign duties

Exposure 52, automation 28%, augmentation 58%.

O*NET evidence: Prepare work schedules and assign duties to subordinates. (ID 574)

compliance

Investigate personnel problems and misconduct charges

Exposure 26, automation 10%, augmentation 48%.

O*NET evidence: Investigate and resolve personnel problems within organization and charges of misconduc... (ID 567)

social

Train staff in police work procedures

Exposure 24, automation 9%, augmentation 48%.

O*NET evidence: Train staff in proper police work procedures. (ID 568)

TaskExposureAutomationAugmentation
Supervise and coordinate criminal investigations249%52%
Prepare work schedules and assign duties5228%58%
Investigate personnel problems and misconduct charges2610%48%
Train staff in police work procedures249%48%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Police Lieutenant or Captain

Training horizon: 12-24 months. Skill overlap 68. Wage preservation signal 118.

  • Pass promotional examinations
  • Command larger units
  • Own departmental policy
Low
role redesign

Internal Affairs Commander

Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 112.

  • Lead misconduct investigations
  • Modernize evidence systems
  • Train supervisors on compliance
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Police Supervisors

The displacement pressure score for Police Supervisors is 20. 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. Prepare work schedules and assign duties carries 28% automation pressure, while Prepare work schedules and assign duties carries 58% 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: $106,040 (May 2025, US national). Employment context: Supervisory scope above the patrol-officer role. Typical education: Promotion from officer ranks; associate or bachelor degree common.

Wage vulnerability is 22, while transition feasibility is 66. 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
  • Analytics draft rosters and patrol maps
  • Procedural accountability stays human

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Police Supervisors, 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.

Priority 1

Investigation supervision

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.

Priority 2

Scheduling

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.

Priority 3

Personnel management

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.

Priority 4

Law enforcement

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.

  1. 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.
  2. By 60 days, complete one small project connected to Police Lieutenant or Captain, such as pass promotional examinations.
  3. By 90 days, compare internal openings and external postings for Police Lieutenant or Captain or Internal Affairs Commander and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Police Supervisors

Will AI replace Police Supervisors?

Police supervisors coordinate investigations, set schedules, review reports, and handle misconduct complaints. Scheduling and analytics software now drafts rosters and flags crime patterns, but supervisors carry legal responsibility for how their officers' work is conducted — a liability no dashboard absorbs. 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 Police Supervisors work are most exposed to AI?

Prepare work schedules and assign duties and Investigate personnel problems and misconduct charges show the strongest automation pressure in this model. Prepare work schedules and assign duties and Supervise and coordinate criminal investigations are better treated as AI-augmented work.

What should Police Supervisors learn next?

Start with Investigation supervision, Scheduling, Personnel management. The most practical adjacent paths in this model are Police Lieutenant or Captain and Internal Affairs Commander.

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