Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Maintenance

Maids and Housekeeping Cleaners and AI

Low exposureAI score 2/10 · Maintenance
2out of 10
JPE Score
Median salary
$35K
Forecast 2030
+5%
Employment
855K
BLS growth '23–'33
+3%
Trend
growth
Sector
Maintenance

Exposure scores

JPE (Practical Exposure)2/10 — Low exposure
Felten AIOE (academic reference)3.5/10
BLS growth projection (2023–2033, 10yr)+3%

AI exposure explained

What does an AI score of 2/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Maids and Housekeeping Cleaners has low AI exposure, meaning most tasks require physical presence, interpersonal skills, or tacit knowledge that AI cannot automate in the near term.


Forecast 2030

What changes for Maids and Housekeeping Cleaners?

Modeled employment change by 2030
+5%
Disruption risk: Low

This model combines BLS Employment Projections (2023–2033 horizon, interpolated to 2030) with an AI disruption factor calibrated for the US labor market (at-will employment, higher labor mobility, stronger AI adoption). A range of +5% means employment for Maids and Housekeeping Cleaners is modeled to grow by 2030. This is a scenario, not a prediction.


Sector context

Maintenance and AI

Maids and Housekeeping Cleaners belongs to the Maintenance sector. This sector has an education level index of 1/4, indicating lower formal education requirements. Occupations in Maintenance with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

ChatGPT

Career outlook

Low exposure — Leverage AI to enhance your strengths

Direct AI impact is limited, but the world around you is changing. Use AI where it supports your work and keep investing in what makes this occupation uniquely human.


Personal development

Personal development plan

Based on your sector (Maintenance) and AI exposure level, here are three concrete steps to future-proof your career.

Implement building management AI

Smart buildings reduce energy costs by 20-40%

Facilio, Siemens Building X
Adopt predictive maintenance systems

Fix equipment before it breaks to prevent costly downtime

UpKeep, ServiceChannel
Automate work order management

AI prioritizes, assigns, and tracks maintenance requests

ServiceChannel, UpKeep

Related occupations

Similar occupations on the map

Janitors and Cleaners
AI 2/10·+3% 2030
Maintenance
Home Health and Personal Care Aides
AI 3/10·+7% 2030
Healthcare Support
Fast Food and Counter Workers
AI 3/10·+0% 2030
Food Service

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment and salary data from BLS OEWS May 2024. A high AI score does not automatically mean job loss — Software Developers score 9/10 but BLS projects +17% growth (2023–2033). The 2030 forecast interpolates BLS 10-year projections to a 2030 horizon and adjusts with AI disruption pressure. These are modeled scenarios, not predictions. All data CC BY 4.0.

Full methodology, sources and download →


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