Protective Services · Updated Aug 2026

Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers

Monitor recreational areas, such as pools, beaches, or ski slopes, to provide assistance and protection to participants.

JVS 2.0.0-phase4b
AI Exposure
49/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
40/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence80/100
Task coverage82%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Complete and maintain records of weather and beach conditions, emergency medical treatments performed, and other relevant incident information.High
73
Instruct participants in skiing, swimming, or other recreational activities and provide safety precaution information.High
73
Warn recreational participants of inclement weather, unsafe areas, or illegal conduct.High
69
Inspect recreational equipment, such as rope tows, T-bars, J-bars, or chair lifts, for safety hazards and damage or wear.High
55
Contact emergency medical personnel in case of serious injury.High
73
Provide assistance in the safe use of equipment, such as ski lifts.Medium
67
Patrol or monitor recreational areas, such as trails, slopes, or swimming areas, on foot, in vehicles, or from towers.High
20
Observe activities in assigned areas, using binoculars, to detect hazards, disturbances, or safety infractions.High
26
Provide assistance with staff selection, training, and supervision.Medium
54
Examine injured persons and administer first aid or cardiopulmonary resuscitation, if necessary, using training and medical supplies and equipment.High
37
Rescue distressed persons, using rescue techniques and equipment.High
23
Participate in recreational demonstrations to entertain resort guests.Low
69
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Complete and maintain records of weather and beach conditions, emergency medical treatments performed, and other relevant incident information.73
  2. Instruct participants in skiing, swimming, or other recreational activities and provide safety precaution information.73
  3. Contact emergency medical personnel in case of serious injury.73
  4. Warn recreational participants of inclement weather, unsafe areas, or illegal conduct.69
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Patrol or monitor recreational areas, such as trails, slopes, or swimming areas, on foot, in vehicles, or from towers.01
  2. Rescue distressed persons, using rescue techniques and equipment.02
  3. Observe activities in assigned areas, using binoculars, to detect hazards, disturbances, or safety infractions.03
  4. Warn recreational participants of inclement weather, unsafe areas, or illegal conduct.04
  5. Provide assistance in the safe use of equipment, such as ski lifts.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency80
Physical dependency63
Adoption pressure39
Labour-market resilience70
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence80/100
CalculatedAug 21, 2026
Read methodology →