# Will maids be replaced by AI? Updated October 2026 Maids score 8 of 100 for AI exposure. 97% of their task time still needs a person. AI speeds up the other 3%. - **3%** AI helps - **97%** Needs a person Low exposure Lower than 98% of the 923 occupations we scored. ## Task by task We graded 20 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 1 and leaves 19 to people. | Task | AI exposure | | --- | --- | | Request repair services and wait for repair workers to arrive. Repair requests can be digital; waiting is physical. | 35% AI helps | | Sort, count, and mark clean linens and store them in linen closets. Physical sorting and storing; counts could be logged digitally. | 18% Needs a person | | Observe precautions required to protect hotel and guest property and report damage, theft, and found articles to supervisors. Mostly in-person vigilance; reporting could be logged digitally. | 15% Needs a person | | Replenish supplies, such as drinking glasses, linens, writing supplies, and bathroom items. Physical restocking; checklists could be software assisted. | 14% Needs a person | | Keep storage areas and carts well-stocked, clean, and tidy. Physical stocking and tidying; AI only helps with inventory lists. | 12% Needs a person | ## How maids compare All occupations (923) Building and grounds cleaning and maintenance (8) **Maids score 8**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 21 for building and grounds cleaning and maintenance. ## Pay and outlook in the US Median pay $35,510 a year, May 2025 People employed 860,670 in the US, May 2025 Projected change in jobs +0.6% from 2024 to 2034 ## Skills to build - Log linen counts and supply levels in inventory tracking software - Submit and track repair tickets in CMMS - Update room status in computerized bed control system software - Build par level sheets in Microsoft Excel - Operate floor scrubbers, polishers and carpet shampooers safely - Report damage, theft and found articles to supervisors in writing ## Safer roles nearby A related occupation with a lower score. - [Floor sanders7 out of 100](https://www.aigentcy.com/ai-exposure/floor-sanders/) ## Questions about maids and AI Will AI replace maids? Partly. About 1 in 10 working hours go to tasks AI can already do, mostly requesting repairs and sorting linens. Hands-on work like making beds, scrubbing floors and moving furniture stays with people. Which maid tasks is AI taking over? Repair requests and linen sorting carry the highest exposure. Requesting repairs scores 35 on exposure, since the ticket can be digital while the wait for a repair worker is physical. Linen sorting scores 18, because counts can be logged digitally while the folding and storing stay with hands. Which maid tasks stay human? Dusting furniture, moving furniture, turning mattresses, scrubbing floors and cleaning carpets all score 2 or 3 on exposure. These tasks need a person operating equipment or handling objects in a room, so AI has little to take over. They sit in the 97 percent of task weight that stays human. How can maids stay valuable as AI spreads? Learn the CMMS and bed control systems so you can file and close repair tickets yourself. Keep par levels current in Microsoft Excel so supply shortfalls get caught before a shift. Get trained on floor machines and carpet shampooers, since that hands-on skill scores 3 on exposure. ## Related jobs - [Janitors14 out of 100](https://www.aigentcy.com/ai-exposure/janitors/) - [Laundry workers13 out of 100](https://www.aigentcy.com/ai-exposure/laundry-workers/) - [Dining room attendants10 out of 100](https://www.aigentcy.com/ai-exposure/dining-room-attendants/) - [Dishwashers8 out of 100](https://www.aigentcy.com/ai-exposure/dishwashers/) ## Next steps for maids - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.