49
/100

SOC 39-3093

Locker Room, Coatroom, and Dressing Room Attendants

ElevatedFrey/Osborne: 43.0%

Risk Score

โš ๏ธ

49/100

Elevated

US Employment

๐Ÿ‘ฅ

14,960

Total workers

Median Wage

๐Ÿ’ฐ

$35K

$24K โ€“ $51K

Projected Growth

๐Ÿ“ˆ

+6.4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

46/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Locker Room, Coatroom, and Dressing Room Attendants face a risk score of 49/100 โ€” 5 points above the national average of 44. With only 46/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $35K. 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 49/100, Locker Room, Coatroom, and Dressing Room Attendants faces moderate automation pressure. While tasks like automated booking and client management platforms are increasingly handled by AI, the role retains significant human elements. The 14,960 workers in this occupation should focus on strengthening skills in building trust and rapport with repeat clients and personalized hands-on service requiring tactile skill to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Locker Room, Coatroom, and Dressing Room Attendants?

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

โš ๏ธ Top Risk Factors

1

Automated booking and client management platforms

2

Robotic massage and physical therapy devices

3

Virtual try-on technology reducing in-person consultations

4

AI fitness coaching apps displacing personal trainers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Building trust and rapport with repeat clients

โœ“

Personalized hands-on service requiring tactile skill

โœ“

Creative aesthetic judgment for individual clients

โœ“

Emotional support and active listening during sessions

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

Provide towels and sheets to clients in public baths, steam rooms, and restrooms.

โ€ข

Assign dressing room facilities, locker space, or clothing containers to patrons of athletic or bathing establishments.

โ€ข

Check supplies to ensure adequate availability, and order new supplies when necessary.

โ€ข

Monitor patrons' facility use to ensure that rules and regulations are followed, and safety and order are maintained.

โ€ข

Clean facilities such as floors or locker rooms.

๐Ÿ’ป Technology Skills

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Inventory management software

โ€ข

Office suite software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Public Safety and Security

โ€ข

Education and Training

โ€ข

Sales and Marketing

๐Ÿ“Š vs National Average

Median Wage$35K
$-12K

National avg: $46K

Risk Score49/100
+5

National avg: 44/100

GenAI Exposure46/100
+8

National avg: 38/100

Projected Growth6.4%
+2.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Tour and Travel Guides27$37K74%
Concierges29$37K70%
Social Workers, All Other22$69K59%