Police Officers
Protective ServiceAI exposure
- Data source: BLSPublished: '26.08
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: '26.03
0.123
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.14
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, 95% 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 31 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide road information to assist motorists.33-3051 | 0.021880.4 | 0.00296.8 |
Record facts to prepare reports that document incidents and activities.33-3051 | 0.003814.0 | 0.036185.1 |
Inspect public establishments to ensure compliance with rules and regulations.33-3051 | 0.00155.5 | 0.00184.2 |
Review facts of incidents to determine if criminal act or statute violations were involved. | —0 | 0.00163.8 |
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 facts to prepare reports that document incidents and activities.O*NET Task ID 23053 | 1.0 |
Relay complaint and emergency-request information to appropriate agency dispatchers.O*NET Task ID 23061 | 1.0 |
Investigate illegal or suspicious activities.O*NET Task ID 23055 | 0.5 |
Review facts of incidents to determine if criminal act or statute violations were involved.O*NET Task ID 23056 | 0.5 |
Monitor, note, report, and investigate suspicious persons and situations, safety hazards, and unusual or illegal activity in patrol area.O*NET Task ID 23057 | 0.5 |
Verify that the proper legal charges have been made against law offenders.O*NET Task ID 23062 | 0.5 |
Photograph or draw diagrams of crime or accident scenes and interview principals and eyewitnesses.O*NET Task ID 23063 | 0.5 |
Evaluate complaint and emergency-request information to determine response requirements.O*NET Task ID 23064 | 0.5 |
Investigate traffic accidents and other accidents to determine causes and to determine if a crime has been committed.O*NET Task ID 23067 | 0.5 |
Notify patrol units to take violators into custody or to provide needed assistance or medical aid.O*NET Task ID 23069 | 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