SOC 37-2011

Janitors and Cleaners AI displacement risk

Robotic floor scrubbers handle large open corridors, but most cleaning is variable physical work across cluttered, unpredictable spaces. Minor repairs, hazard spotting, supply management, and security checks keep human cleaners standard in most buildings.

Exposure26

Share and intensity of work current AI systems can materially affect.

Automation18%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandLow

Automation concentrates in airports and malls with smooth, empty floors. The occupation's scale and variety — offices, schools, hospitals — means machines augment routes rather than replace crews.

Distribution

Where Janitors and Cleaners sits across 620 tracked roles

Janitors and Cleaners · 24050100

Displacement pressure 24 — higher than 32% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

21 O*NET task statements matched to SOC 37-2011. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $36,840 (May 2025, US national). The latest BLS row matched SOC 37-2011.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Janitors and Cleaners

SOC 37-2011 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 24/100 role score and are not an occupation forecast.

Modest change

+1.1% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

+5.9% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

+33.6% group wage

Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Janitors and Cleaners

The current evidence import matched 21 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks21
SOC37-2011
  • Core task / ID 9538

    Service, clean, or supply restrooms.

  • Core task / ID 9539

    Gather and empty trash.

  • Core task / ID 9540

    Clean building floors by sweeping, mopping, scrubbing, or vacuuming.

  • Core task / ID 20590

    Monitor building security and safety by performing tasks such as locking doors after operating hours or checking electrical appliance use to ensure that hazards are not created.

  • Core task / ID 9544

    Notify managers concerning the need for major repairs or additions to building operating systems.

  • Core task / ID 9541

    Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

physical

Clean floors and surfaces

Exposure 26, automation 18%, augmentation 14%.

O*NET evidence: Clean building floors by sweeping, mopping, scrubbing, or vacuuming. (ID 9540)

physical

Service restrooms and supplies

Exposure 22, automation 12%, augmentation 14%.

O*NET evidence: Service, clean, or supply restrooms. (ID 9538)

compliance

Monitor building safety and security

Exposure 28, automation 12%, augmentation 34%.

O*NET evidence: Monitor building security and safety by performing tasks such as locking doors after op... (ID 20590)

technical

Perform minor repairs and adjustments

Exposure 24, automation 8%, augmentation 36%.

O*NET evidence: Make adjustments or minor repairs to heating, cooling, ventilating, plumbing, or electr... (ID 9555)

TaskExposureAutomationAugmentation
Clean floors and surfaces2618%14%
Service restrooms and supplies2212%14%
Monitor building safety and security2812%34%
Perform minor repairs and adjustments248%36%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Facilities Maintenance Technician

Training horizon: 3-9 months. Skill overlap 62. Wage preservation signal 126.

  • Learn basic electrical and plumbing
  • Document preventive maintenance
  • Track work orders digitally
Low
adjacent role

Custodial Supervisor

Training horizon: 1-3 months. Skill overlap 76. Wage preservation signal 124.

  • Own crew schedules
  • Inspect quality standards
  • Manage supply inventory
Low

Comparison guides

Compare the next move before you commit

What the AI risk score means for Janitors and Cleaners

The displacement pressure score for Janitors and Cleaners is 24. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Clean floors and surfaces carries 18% automation pressure, while Perform minor repairs and adjustments carries 36% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $36,840 (May 2025, US national). Employment context: Very large facilities workforce. Typical education: No formal educational credential.

Wage vulnerability is 72, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Low displacement pressure
  • Robotics handle open floors only
  • Wage vulnerability persists

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Janitors and Cleaners, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Physical reliability

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Chemical safety

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Basic maintenance

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Route efficiency

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Facilities Maintenance Technician, such as learn basic electrical and plumbing.
  3. By 90 days, compare internal openings and external postings for Facilities Maintenance Technician or Custodial Supervisor and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Janitors and Cleaners

Will AI replace Janitors and Cleaners?

Robotic floor scrubbers handle large open corridors, but most cleaning is variable physical work across cluttered, unpredictable spaces. Minor repairs, hazard spotting, supply management, and security checks keep human cleaners standard in most buildings. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Janitors and Cleaners work are most exposed to AI?

Clean floors and surfaces and Service restrooms and supplies show the strongest automation pressure in this model. Perform minor repairs and adjustments and Monitor building safety and security are better treated as AI-augmented work.

What should Janitors and Cleaners learn next?

Start with Physical reliability, Chemical safety, Basic maintenance. The most practical adjacent paths in this model are Facilities Maintenance Technician and Custodial Supervisor.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail