High AI Risk Average

First-line supervisors of housekeeping and janitorial workers

SOC Code: 37-1011

First-line supervisors of housekeeping and janitorial workers carries a 44% AI exposure score (High automation risk), with a median annual wage of $47,520 and +2.5% projected employment growth from 2024 to 2034 (BLS), affecting approximately 269,800 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
44% High

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+2.5%
2024–2034 (BLS)
+6,700 jobs
Median Annual Wage
$47,520
BLS May 2024
How wage figures are sourced →
The verdict

At 44% AI exposure, First-line supervisors of housekeeping and janitorial workers sits 7 points above the 37.2% average across 832 U.S. occupations - more exposed than 77% of them. Most of its core tasks still require human judgment.

44%
AI exposure
Top 23%
most exposed
+2.5%
Job growth 2024–34
$47,520
Median wage

Where First-line supervisors of housekeeping and janitorial workers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - First-line supervisors of housekeeping and janitorial workers marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 23% by AI exposure Higher AI exposure than 77% of all 832 occupations.

First-line supervisors of housekeeping and janitorial workers has ai exposure of 44%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

First-line supervisors of housekeeping and janitorial workers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. First-line supervisors of housekeeping and janitorial workers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk12.5%20.8%29%37.3%45.5%0%1.3%2.6%3.9%5.1%AI exposure (%) →Projected growth (%) →JanitorsMaidsLandscapingFirst-line supervisoFirst-line supervisoPest control workersTree trimmersPesticide handlersBuilding cleaning woGrounds maintenance

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

269,800
Employment 2024
276,400
Projected 2034
+2.5%
Change (%)
+6,700
Change (jobs)

Occupation Insight

First-line supervisors of housekeeping and janitorial workers (SOC 37-1011) carries an AI exposure score of 44%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.

The economic context matters alongside the risk score. BLS counted approximately 269,800 workers in this occupation in 2024, and projects a +2.5% change through 2034 - modest growth that keeps the occupation viable even as tasks evolve. Median annual compensation stands at $47,520, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus Less than 5 years of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes First-line supervisors of housekeeping and janitorial workers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
Less than 5 years
On-the-Job Training
None

Top Tasks (O*NET)

  1. 1. Supervise in-house services, such as laundries, maintenance and repair, dry cleaning, or valet services.
  2. 2. Select the most suitable cleaning materials for different types of linens, furniture, flooring, and surfaces.
  3. 3. Advise managers, desk clerks, or admitting personnel of rooms ready for occupancy.
  4. 4. Inspect work performed to ensure that it meets specifications and established standards.
  5. 5. Perform or assist with cleaning duties as necessary.
  6. 6. Plan and prepare employee work schedules.
  7. 7. Establish and implement operational standards and procedures for the departments supervised.
  8. 8. Inspect and evaluate the physical condition of facilities to determine the type of work required.
  9. 9. Inventory stock to ensure that supplies and equipment are available in adequate amounts.
  10. 10. Issue supplies and equipment to workers.

Key Skills Required

  • Management of Personnel Resources
  • Speaking
  • Monitoring
  • Coordination
  • Time Management
  • Active Listening
  • Critical Thinking
  • Learning Strategies
  • Social Perceptiveness
  • Instructing

Knowledge Areas

  • Customer and Personal Service
  • English Language
  • Administration and Management
  • Education and Training
  • Public Safety and Security
  • Personnel and Human Resources
  • Administrative
  • Production and Processing
  • Economics and Accounting
  • Mathematics

Frequently Asked Questions

Will AI replace First-line supervisors of housekeeping and janitorial workers?

First-line supervisors of housekeeping and janitorial workers has an AI exposure score of 44%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.

What is the job outlook for First-line supervisors of housekeeping and janitorial workers?

According to BLS Employment Projections 2024-2034, First-line supervisors of housekeeping and janitorial workers is projected to grow by 2.5% over the decade. Current employment stands at approximately 269,800 workers.

What skills are needed for First-line supervisors of housekeeping and janitorial workers?

Key skills for First-line supervisors of housekeeping and janitorial workers include Management of Personnel Resources, Speaking, Monitoring, and others. Typical entry-level education is High school diploma or equivalent.

How much do First-line supervisors of housekeeping and janitorial workers earn?

The median annual wage for First-line supervisors of housekeeping and janitorial workers is $47,520, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for First-line supervisors of housekeeping and janitorial workers?

The typical entry-level education for First-line supervisors of housekeeping and janitorial workers is High school diploma or equivalent. Employers generally expect Less than 5 years of related work experience. On-the-job training typically involves None. Requirements can vary by employer and specialization.

Which companies employ First-line supervisors of housekeeping and janitorial workers?

First-line supervisors of housekeeping and janitorial workers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

2.2
out of 5.0

High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.