CLOSE
The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Janitors and Cleaners, Except Maids and Housekeeping Cleaners are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Janitorial work is labeled "Somewhat Resilient" because while robots and smart technology are genuinely changing how cleaning gets done, they're taking over the repetitive, straightforward tasks — like scrubbing large open floors — rather than replacing the whole job. The trickier work, like cleaning around clutter, judging when something needs repair, or interacting with the people in a building, still needs a human on the scene.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Janitorial work is labeled "Somewhat Resilient" because while robots and smart technology are genuinely changing how cleaning gets done, they're taking over the repetitive, straightforward tasks — like scrubbing large open floors — rather than replacing the whole job. The trickier work, like cleaning around clutter, judging when something needs repair, or interacting with the people in a building, still needs a human on the scene.
Read full analysisAnalysis of Current AI Resilience
Janitors and Cleaners
Updated Quarterly • Last Update: 5/14/2026

If you've ever pushed a mop or emptied trash in a school or office, you might be wondering whether robots are coming for those jobs. The honest answer is: parts of the work are being automated, but it's mostly looking like augmentation — machines handling the repetitive stuff while people focus on the trickier tasks. According to an industry leader writing in ISSA Today, robotic floor cleaning is no longer an emerging technology — it is now a mainstream operational tool, accelerated by labor shortages, rising wages, and client expectations for consistency, safety, and proof of performance.
The BSCAI (the trade group for commercial cleaning contractors) shares a hopeful framing from a Budd Group executive: "Autonomous vacuums and scrubbers are becoming common in large, open spaces. They don't replace staff but handle repetitive work, letting employees focus on detail cleaning or filling in for absenteeism". Beyond robots, AI is showing up as smart sensors, QR-code "proof of service" check-ins, and IoT dashboards that route cleaners based on building traffic [1].
Cleanfax notes the ISSA Show's Technology and Innovation Track [2] is built entirely around these advances. Importantly, tasks like cleaning windows, polishing furniture, judging when something needs repair, and interacting with building occupants still require human eyes, hands, and judgment — which is why the U.S. Bureau of Labor Statistics still projects 2.4 million jobs and 351,300 annual openings through 2034 [3].

Adoption is speeding up — but mostly because there aren't enough humans applying for these jobs. As JaniJobs' president writes for the REMI Network, many workers who left during COVID never returned, immigration slowdowns and fewer young people entering hourly service jobs have made replacing them harder, and competition for dependable cleaners is fierce. That labor gap makes the math on robotic scrubbers (which can cost $20,000–$50,000) easier to justify.
BSCAI's industry leaders predict robotics will significantly help with labor shortages, but companies will need to train staff to be "robotic technicians" rather than just "cleaners" — meaning workers who learn the tech may earn more. Things slowing AI down include high upfront costs for small contractors, robots struggling with stairs, clutter, and detail work, and the fact that the BLS notes continued use of high-tech cleaning methods may limit employment growth but won't eliminate it [3]. The takeaway for young people: this field isn't disappearing, it's leveling up.
Cleaning is gaining recognition as a skilled profession, and new technology is making the work easier and more efficient, with the industry projected to reach $800 billion by 2035. Learning to operate, troubleshoot, and supervise cleaning robots could turn an entry-level job into a long-term career.

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
They keep buildings clean and safe by sweeping, mopping floors, taking out trash, and maintaining restrooms.
Median Wage
$35,930
Jobs (2024)
2,447,700
Growth (2024-34)
+2.0%
Annual Openings
351,300
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Clean chimneys, flues, and connecting pipes, using power or hand tools.
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.
Remove snow from sidewalks, driveways, or parking areas, using snowplows, snow blowers, or snow shovels, or spread snow melting chemicals.
Clean and restore building interiors damaged by fire, smoke, or water, using commercial cleaning equipment.
Set up, arrange, or remove decorations, tables, chairs, ladders, or scaffolding to prepare facilities for events, such as banquets or meetings.
Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures.
Notify managers concerning the need for major repairs or additions to building operating systems.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.