54
/100

SOC 33-9092

Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers

ElevatedFrey/Osborne: 67.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

143,590

Total workers

Median Wage

๐Ÿ’ฐ

$34K

$25K โ€“ $45K

Projected Growth

๐Ÿ“ˆ

+5.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

34/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers face a risk score of 54/100 โ€” 10 points above the national average of 44. With only 34/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $34K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 54/100, Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers faces moderate automation pressure. While tasks like automated access control and identity verification are increasingly handled by AI, the role retains significant human elements. The 143,590 workers in this occupation should focus on strengthening skills in community relationship-building and trust development and physical apprehension and emergency response to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Lifeguards, Ski Patrol, and Other Recreational Protective Service Workers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated access control and identity verification

2

AI-powered surveillance and threat detection systems

3

Predictive policing and crime analytics

4

Drone-based perimeter monitoring and response

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Community relationship-building and trust development

โœ“

Physical apprehension and emergency response

โœ“

Navigating legally and ethically complex enforcement scenarios

โœ“

Split-second judgment in life-threatening situations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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

โ€ข

Rescue distressed persons, using rescue techniques and equipment.

โ€ข

Contact emergency medical personnel in case of serious injury.

โ€ข

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

โ€ข

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

๐Ÿ’ป Technology Skills

โ€ข

Instant messaging software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

โ€ข

Presentation software

โ€ข

Desktop publishing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Medicine and Dentistry

๐Ÿ“Š vs National Average

Median Wage$34K
$-13K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure34/100
-4

National avg: 38/100

Projected Growth5.8%
+2.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Education Administrators, All Other21$89K51%
Social Workers, All Other22$69K69%
Substance Abuse, Behavioral Disorder, and Mental Health Counselors23$59K67%