# Will maintenance supervisors be replaced by AI? Updated October 2026 Maintenance supervisors score 44 of 100 for AI exposure. The largest share of their task time, 66%, is work AI speeds up while they stay in charge. AI can take over 13% outright, and 21% stays with people. - **13%** AI can do it - **66%** AI helps - **21%** Needs a person Moderate exposure Higher than 60% of the 923 occupations we scored. ## Task by task We graded 22 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 15 and leaves 4 to people. | Task | AI exposure | | --- | --- | | Compile operational or personnel records, such as time and production records, inventory data, repair or maintenance statistics, or test results. Compiling records from existing systems is routine data work. | 78% AI can do it | | Requisition materials and supplies, such as tools, equipment, or replacement parts. Requisition forms are routine; a person approves the orders. | 66% AI can do it | | Compute estimates and actual costs of factors such as materials, labor, or outside contractors. Cost estimates from quotes and software are largely computational. | 62% AI can do it | | Participate in budget preparation and administration, coordinating purchasing and documentation and monitoring departmental expenditures. Spreadsheet budgeting and expense tracking suit AI; approvals stay human. | 60% AI helps | | Develop, implement, or evaluate maintenance policies and procedures. Policy drafting is mostly writing; leadership still makes final calls. | 58% AI helps | ## How maintenance supervisors compare All occupations (923) Installation, maintenance and repair (50) **Maintenance supervisors score 44**, 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 installation, maintenance and repair. ## Pay and outlook in the US Median pay $79,860 a year, May 2025 People employed 617,500 in the US, May 2025 Projected change in jobs +4.1% from 2024 to 2034 ## Skills to build - Build crew schedules in Microsoft Project by priority and skill - Track departmental spend against purchase orders in SAP software - Run budget variance tracking in Microsoft Excel - Read blueprints in Autodesk AutoCAD to mark layout reference points - Lead grievance meetings and vendor negotiations face to face - Draft maintenance policies and procedures in Microsoft Word ## Safer roles nearby 5 related occupations with lower scores. - [Production supervisors43 out of 100](https://www.aigentcy.com/ai-exposure/production-supervisors/) - [Construction supervisors39 out of 100](https://www.aigentcy.com/ai-exposure/construction-supervisors/) - [Warehouse supervisors40 out of 100](https://www.aigentcy.com/ai-exposure/warehouse-supervisors/) - [Transportation supervisors37 out of 100](https://www.aigentcy.com/ai-exposure/transportation-supervisors/) - [Logistics supervisors39 out of 100](https://www.aigentcy.com/ai-exposure/logistics-supervisors/) ## Questions about maintenance supervisors and AI Will AI replace maintenance supervisors? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly compiling operational records and requisitioning materials and supplies. Skilled repair, vendor talks, and grievance work stay with people because they need a person on site or in the room. Which tasks is AI taking over for maintenance supervisors? Compiling time, inventory, and repair statistics scores 78 on exposure because it moves data from existing systems. Requisitioning parts scores 66 since the forms are routine and a person only approves the orders. Computing cost estimates from quotes scores 62 because the math is computational. Which tasks stay human for maintenance supervisors? Skilled repair scores 5 on exposure because hand tools and welders work physically on site. Inspecting finished work scores 15 since gauge checks need a person present. Counseling employees scores 20 because it is interpersonal, with AI helping only on training plans. How can maintenance supervisors stay valuable? Shift time from record compiling to site work that needs a person. Check every AI-compiled repair statistic and cost estimate against site records before sign-off. Learn SAP purchasing and Microsoft Project scheduling so you set assignments by priority and skill. Keep leading vendor meetings and grievance talks in person. ## Related jobs - [Administrative supervisors55 out of 100](https://www.aigentcy.com/ai-exposure/administrative-supervisors/) - [Housekeeping supervisors42 out of 100](https://www.aigentcy.com/ai-exposure/housekeeping-supervisors/) - [Recreation supervisors42 out of 100](https://www.aigentcy.com/ai-exposure/recreation-supervisors/) - [Sales supervisors48 out of 100](https://www.aigentcy.com/ai-exposure/sales-supervisors/) ## Next steps for maintenance supervisors - ### 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.