Stable

Last Update: 2/17/2026

Your role’s AI Resilience Score is

70.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Building Cleaning Workers, All Other

They keep buildings clean by sweeping, mopping, and dusting, making sure everything looks tidy and welcoming.

This role is stable

Building cleaning jobs are considered stable because, while robots can help with big or repetitive tasks like vacuuming large floors or cleaning high windows, they can't handle everything. Many cleaning chores still need human skills like judgment, flexibility, and attention to detail.

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Learn more about how you can thrive in this position

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This role is stable

Building cleaning jobs are considered stable because, while robots can help with big or repetitive tasks like vacuuming large floors or cleaning high windows, they can't handle everything. Many cleaning chores still need human skills like judgment, flexibility, and attention to detail.

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Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

Learn about this score
Stable iconStable

86.2%

86.2%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

2.5%

Growth Percentile:

46.4%

Annual Openings:

2,600

Annual Openings Pct:

26.5%

Analysis of Current AI Resilience

Building Cleaning Workers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Cleaners already use some machines for big jobs, but robots do only part of the work. For example, specialized window‐cleaning robots are becoming real – they can climb skyscrapers and wash glass without putting people in danger [1]. There are also robot vacuums and autonomous floor‐scrubbers used in malls or airports for routine cleaning.

However, most detailed tasks – like scrubbing tough spots, moving furniture, or organizing supplies – still rely on humans. In fact, O*NET notes this “all other” cleaning category covers a wide range of duties and has no single standard skill set [2]. U.S. data show about 17,000 jobs in this category (as of 2020) with a mean wage of about \$18.68/hour [3], reflecting that cleaning work is labor‐intensive.

In short, while machines can handle repetitive floors and high windows, many everyday cleaning chores remain manual for now.

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AI Adoption

AI in the real world

Whether cleaning firms add AI robots depends on costs and needs. On one hand, robots can save money over time: the median cleaner earns roughly \$34,500 per year (about \$16.59/hour) [3], so a commercial cleaning robot (costing tens of thousands up front) could “pay for itself” if it runs many hours. On the other hand, the big upfront price and maintenance can slow adoption in smaller businesses.

News reports note that companies usually turn to automation when they can’t find enough people【1†】. Labor shortages (especially during the pandemic) have pushed some hospitals and hotels to try robot assistants for tasks like disinfection or vacuuming, but they often still need human supervisors. Socially, many clients prefer a person who can see and fix every little problem – trust and quality matter.

In practice, experts expect AI to augment rather than replace cleaning workers. Robots can boost safety and efficiency (for example, window‐washing bots reduce fall risk [1]), but human skills like judgment, flexibility, and care remain crucial. In short, cleaning jobs may change (with more tech help), but people will still do most of the work for the foreseeable future [1]【1†】.

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More Career Info

Career: Building Cleaning Workers, All Other

Employment & Wage Data

Median Wage

$42,360

Jobs (2024)

18,100

Growth (2024-34)

+2.5%

Annual Openings

2,600

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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