# Will production supervisors be replaced by AI? Updated October 2026 Production supervisors score 43 of 100 for AI exposure. The largest share of their task time, 59%, is work AI speeds up while they stay in charge. AI can take over 15% outright, and 26% stays with people. - **15%** AI can do it - **59%** AI helps - **26%** Needs a person Moderate exposure Higher than 58% of the 923 occupations we scored. ## Task by task We graded 20 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 12 and leaves 5 to people. | Task | AI exposure | | --- | --- | | Maintain operations data, such as time, production, and cost records, and prepare management reports of production results. Production and cost records and standard management reports are routine digital work. | 75% AI can do it | | Keep records of employees' attendance and hours worked. Timekeeping systems already record attendance and hours digitally. | 72% AI can do it | | Calculate labor and equipment requirements and production specifications, using standard formulas. Standard formulas for labor and equipment needs are easily computed by software. | 72% AI can do it | | Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs. AI can read and summarize schedules and reports; supervisor validates. | 60% AI helps | | Requisition materials, supplies, equipment parts, or repair services. Requisition forms and reorder systems are digital; approvals stay with supervisor. | 60% AI helps | ## How production supervisors compare All occupations (923) Production (107) **Production supervisors score 43**, 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 22 for production. ## Pay and outlook in the US Median pay $74,450 a year, May 2025 People employed 673,430 in the US, May 2025 Projected change in jobs +1.8% from 2024 to 2034 ## Skills to build - Build production and cost reports in Microsoft Excel - Check AI-generated schedules and sequences in Microsoft Project - Requisition parts and repair services through SAP software - Set up and adjust machines and equipment on the floor - Enforce safety and sanitation rules during floor walks - Resolve worker grievances in face-to-face meetings ## Safer roles nearby 5 related occupations with lower scores. - [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/) - [Logistics supervisors39 out of 100](https://www.aigentcy.com/ai-exposure/logistics-supervisors/) - [Farm supervisors28 out of 100](https://www.aigentcy.com/ai-exposure/farm-supervisors/) - [Transportation supervisors37 out of 100](https://www.aigentcy.com/ai-exposure/transportation-supervisors/) ## Questions about production supervisors and AI Will AI replace production supervisors? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly maintaining operations data and keeping attendance records. Timekeeping and production reporting are digital and routine. Floor leadership, machine setup and safety enforcement stay with supervisors because they need a person on the line. Which tasks is AI taking over for production supervisors? Maintaining operations data and keeping attendance records carry the highest exposure scores, at 75 and 72. Timekeeping systems already log hours digitally, and production and cost records follow standard formats. Calculating labor and equipment needs from standard formulas is also easily handled by software. Which production supervisor tasks stay human? Setting up and adjusting machines scores 8 on exposure, the lowest of the job's tasks, because it is hands-on physical work. Resolving grievances scores 12 and enforcing safety rules scores 15. Both depend on trust, negotiation and a supervisor being present on the floor. How can production supervisors stay valuable? Check AI-drafted schedules in Microsoft Project and SAP software before releasing them to the floor. Keep machine setup skills current, since that work scores 8 on exposure. Hold grievance meetings and safety walks in person, and use Excel to turn production records into clear management reports. ## Related jobs - [Maintenance supervisors44 out of 100](https://www.aigentcy.com/ai-exposure/maintenance-supervisors/) - [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/) - [Food service supervisors41 out of 100](https://www.aigentcy.com/ai-exposure/food-service-supervisors/) ## Next steps for production 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.