67
/100

SOC 37-1011

First-Line Supervisors of Housekeeping and Janitorial Workers

High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

174,660

Total workers

Median Wage

๐Ÿ’ฐ

$48K

$34K โ€“ $74K

Projected Growth

๐Ÿ“ˆ

+2.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

64/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก First-Line Supervisors of Housekeeping and Janitorial Workers face a risk score of 67/100 โ€” 23 points above the national average of 44. With 64/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $48K ($1K above the national median). 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 67/100, First-Line Supervisors of Housekeeping and Janitorial Workers faces moderate automation pressure. While tasks like ai-powered research and literature review tools are increasingly handled by AI, the role retains significant human elements. The 174,660 workers in this occupation should focus on strengthening skills in judgment calls on repair vs. replacement decisions and hands-on troubleshooting of building systems to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace First-Line Supervisors of Housekeeping and Janitorial Workers?

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

โš ๏ธ Top Risk Factors

1

AI-powered research and literature review tools

2

IoT-based predictive maintenance scheduling

3

AI-driven building management and energy optimization

4

AI-generated written content replacing manual drafting

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Judgment calls on repair vs. replacement decisions

โœ“

Hands-on troubleshooting of building systems

โœ“

Physical work in diverse and unstructured environments

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

Supervise in-house services, such as laundries, maintenance and repair, dry cleaning, or valet services.

โ€ข

Select the most suitable cleaning materials for different types of linens, furniture, flooring, and surfaces.

โ€ข

Advise managers, desk clerks, or admitting personnel of rooms ready for occupancy.

โ€ข

Inspect work performed to ensure that it meets specifications and established standards.

โ€ข

Perform or assist with cleaning duties as necessary.

๐Ÿ’ป Technology Skills

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Facilities management software

โ€ข

Electronic mail software

โ€ข

Web page creation and editing software

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Education and Training

โ€ข

Public Safety and Security

๐Ÿ“Š vs National Average

Median Wage$48K
+$1K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure64/100
+26

National avg: 38/100

Projected Growth2.5%
-1.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K69%
Electrical Power-Line Installers and Repairers28$93K63%
Supervisors of Building and Grounds Cleaning and Maintenance Workers36$50K77%