Detectives and Investigators
Protective ServiceAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.037
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.23
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 80% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 64 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop defense plans or tactics, using intelligence and other information.33-3021 | 0.00000.0 | 0.020050.0 |
Determine scope, timing, and direction of investigations.33-3021 | 0.00000.0 | 0.010025.0 |
Notify command of situation and request assistance. | —0 | 0.010025.0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Record progress of investigation, maintain informational files on suspects, and submit reports to commanding officer or magistrate to authorize warrants.O*NET Task ID 23024 | 1.0 |
Prepare reports that detail investigation findings.O*NET Task ID 23029 | 1.0 |
Notify, or request notification of, medical examiner or district attorney representative.O*NET Task ID 23044 | 1.0 |
Obtain facts or statements from complainants, witnesses, and accused persons and record interviews, using recording device.O*NET Task ID 23022 | 0.5 |
Prepare charges or responses to charges, or information for court cases, according to formalized procedures.O*NET Task ID 23025 | 0.5 |
Preserve, process, and analyze items of evidence obtained from crime scenes and suspects, placing them in proper containers and destroying evidence no longer needed.O*NET Task ID 23026 | 0.5 |
Note, mark, and photograph location of objects found, such as footprints, tire tracks, bullets and bloodstains, and take measurements of the scene.O*NET Task ID 23028 | 0.5 |
Examine records and governmental agency files to find identifying data about suspects.O*NET Task ID 23030 | 0.5 |
Provide information to lab personnel concerning the source of an item of evidence and tests to be performed.O*NET Task ID 23032 | 0.5 |
Analyze completed police reports to determine what additional information and investigative work is needed.O*NET Task ID 23033 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page