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AI Automation Index
Will AI Replace Police Identification and Records Officers?
Task-level automation exposure for Police Identification and Records Officers: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
33%
weighted task index
16 of 16 tasks scored
Median Salary
$93,790 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
114,430 people hold this job — size, not growth
Projected 2025–35
+0.2%
employment change
7,800 openings a year · BLS line item
Pay by state
BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$54,500 – $160,760
Highest medians
District of Columbia $160,760
Maryland $126,730
California $124,840
Delaware $122,050
New Jersey $116,300
Lowest medians
Arkansas $54,500
Mississippi $58,640
Louisiana $60,450
South Carolina $62,760
North Carolina $63,280
State figures come from the 33-3021 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 33%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 28%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 49%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 18/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 14%
2 tasks
Medium exposure (≥ 35%) 16%
3 tasks
Low exposure (below 35%) 70%
11 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 05/2025 · AI/SME
Use drone technology for aerial photography and videography of crime scenes.
Constituent Tasks
#2120 · Core · 20% automatable
Photograph crime or accident scenes for evidence records.
physical manipulation — Scene evidence capture requires human presence
Record crime or accident scene evidence with video or still cameras.
#18708 · Core · 78% automatable
Maintain records of evidence and write and review reports.
text generation — Document regulatory info from provided facts
Document legal or regulatory information. Write operational reports.
#18709 · Core · 30% automatable
Submit evidence to supervisors, crime labs, or court officials for legal proceedings.
physical manipulation — Forensic evidence handling requires chain-of-custody hands
Process forensic or legal evidence in accordance with procedures.
#2121 · Core · 15% automatable
Testify in court and present evidence.
interpersonal — Testimony carries legal accountability and live presence
Testify at legal or legislative proceedings.
#2123 · Core · 8% automatable
Look for trace evidence, such as fingerprints, hairs, fibers, or shoe impressions, using alternative light sources when necessary.
physical manipulation — Crime scene examination is physical, situated work
Examine crime scenes to obtain evidence.
#2122 · Core · 8% automatable
Dust selected areas of crime scene and lift latent fingerprints, adhering to proper preservation procedures.
physical manipulation — Crime scene examination is physical, situated work
Examine crime scenes to obtain evidence.
#21036 · Core · 30% automatable
Analyze and process evidence at crime scenes, during autopsies, or in the laboratory, wearing protective equipment and using powders and chemicals.
physical manipulation — Crime scene evidence requires physical collection
Analyze crime scene evidence. Process forensic or legal evidence in accordance with procedures.
#2125 · Core · 30% automatable
Package, store and retrieve evidence.
physical manipulation — Forensic evidence handling requires chain-of-custody hands
Process forensic or legal evidence in accordance with procedures.
#2129 · Core · 30% automatable
Process film and prints from crime or accident scenes.
physical manipulation — Forensic evidence handling requires chain-of-custody hands
Process forensic or legal evidence in accordance with procedures.
#24007 · Core · 62% automatable
Take fingerprints.
text generation — Suspect records drafted; human verifies and owns
Record information about suspects or criminals.
#2127 · Core · 10% automatable
Perform emergency work during off-hours.
situated mobility — Emergency response needs physical action in the world
Respond to emergencies to provide assistance.
#18711 · Core · 45% automatable
Serve as technical advisor and coordinate with other law enforcement workers or legal personnel to exchange information on crime scene collection activities.
interpersonal — Law enforcement info sharing needs trusted humans
Collaborate with law enforcement or security agencies to share information.
#21037 · Core · 45% automatable
Create sketches and diagrams, by hand or computer software, to depict crime scenes.
visual inspection — AI aids illustrations; precise technical drawing human
Draw detailed or technical illustrations.
#18712 · Core · 33% automatable
Coordinate or conduct instructional classes or in-services, such as citizen police academy classes and crime scene training for other officers.
interpersonal — Directing training programs needs human leadership
Direct employee training programs.
#18710 · Supplemental · 56% automatable
Identify, compare, classify, and file fingerprints, using systems such as Automated Fingerprint Identification System (AFIS) or the Henry Classification System.
information retrieval — Database queries for investigation details
Use databases to locate investigation details or other information. Analyze crime scene evidence.
#18713 · Supplemental · 20% automatable
Interview survivors, witnesses, suspects, and other law enforcement personnel.
interpersonal — Criminal interviews need human judgment and presence
Interview people to gather information about criminal activities.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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