Lifeguards and Recreational Protective Service Workers

Protective Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· 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

    0.000

    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
Complete and maintain records of weather and beach conditions, emergency medical treatments performed, and other relevant incident information.

O*NET Task ID 5045

1.0
Rescue distressed persons, using rescue techniques and equipment.

O*NET Task ID 5039

0.0
Contact emergency medical personnel in case of serious injury.

O*NET Task ID 5040

0.0
Patrol or monitor recreational areas, such as trails, slopes, or swimming areas, on foot, in vehicles, or from towers.

O*NET Task ID 5041

0.0
Examine injured persons and administer first aid or cardiopulmonary resuscitation, if necessary, using training and medical supplies and equipment.

O*NET Task ID 5042

0.0
Instruct participants in skiing, swimming, or other recreational activities and provide safety precaution information.

O*NET Task ID 5043

0.0
Warn recreational participants of inclement weather, unsafe areas, or illegal conduct.

O*NET Task ID 5044

0.0
Inspect recreational equipment, such as rope tows, T-bars, J-bars, or chair lifts, for safety hazards and damage or wear.

O*NET Task ID 5046

0.0
Provide assistance with staff selection, training, and supervision.

O*NET Task ID 5047

0.0
Inspect recreational facilities for cleanliness.

O*NET Task ID 5048

0.0
Observe activities in assigned areas, using binoculars, to detect hazards, disturbances, or safety infractions.

O*NET Task ID 5049

0.0
Provide assistance in the safe use of equipment, such as ski lifts.

O*NET Task ID 5050

0.0
Operate underwater recovery units.

O*NET Task ID 5051

0.0
Participate in recreational demonstrations to entertain resort guests.

O*NET Task ID 5052

0.0
Maintain quality of pool water by testing chemical levels.

O*NET Task ID 20129

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