Public Safety Telecommunicators

Protective Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Very 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: 2026-03

    0.046

    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: 2025

    0.20

    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, 86% 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

Exposed tasks only

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 details of calls, dispatches, and messages.

O*NET Task ID 2706

1.0
Question callers to determine their locations and the nature of their problems to determine type of response needed.

O*NET Task ID 2707

1.0
Enter, update, and retrieve information from teletype networks and computerized data systems regarding such things as wanted persons, stolen property, vehicle registration, and stolen vehicles.

O*NET Task ID 2708

1.0
Maintain files of information relating to emergency calls, such as personnel rosters and emergency call-out and pager files.

O*NET Task ID 2714

1.0
Learn material and pass required tests for certification.

O*NET Task ID 2716

1.0
Answer routine inquiries, and refer calls not requiring dispatches to appropriate departments and agencies.

O*NET Task ID 2718

1.0
Test and adjust communication and alarm systems, and report malfunctions to maintenance units.

O*NET Task ID 2721

1.0
Determine response requirements and relative priorities of situations, and dispatch units in accordance with established procedures.

O*NET Task ID 2705

0.5
Scan status charts and computer screens, and contact emergency response field units to determine emergency units available for dispatch.

O*NET Task ID 2709

0.5
Relay information and messages to and from emergency sites, to law enforcement agencies, and to all other individuals or groups requiring notification.

O*NET Task ID 2710

0.5
Maintain access to, and security of, highly sensitive materials.

O*NET Task ID 2712

0.0
Operate and maintain mobile dispatch vehicles and equipment.

O*NET Task ID 2722

0.0

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