Police Officers

Protective Service

AI exposure

  • Data source: BLSPublished: '26.08

    High· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: '26.03

    0.123

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: '25

    0.14

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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 17 hidden tasks

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.

TaskβE1 + 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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information