# Will construction supervisors be replaced by AI? Updated October 2026 Construction supervisors score 39 of 100 for AI exposure. The largest share of their task time, 68%, is work AI speeds up while they stay in charge. AI can take over 13% outright, and 19% stays with people. - **13%** AI can do it - **68%** AI helps - **19%** Needs a person Moderate exposure Higher than 51% of the 923 occupations we scored. ## Task by task We graded 15 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 10 and leaves 3 to people. | Task | AI exposure | | --- | --- | | Record information, such as personnel, production, or operational data on specified forms or reports. Logs and production forms can be filled from voice notes. | 80% AI can do it | | Order or requisition materials or supplies. Procurement systems can draft and submit routine material orders. | 65% AI can do it | | Estimate material or worker requirements to complete jobs. AI takeoff tools estimate quantities from plans and historical data. | 60% AI helps | | Read specifications, such as blueprints, to determine construction requirements or to plan procedures. AI can extract and summarize requirements from plans quickly. | 55% AI helps | | Coordinate work activities with other construction project activities. Schedule and message tools can track dependencies across trades. | 45% AI helps | ## How construction supervisors compare All occupations (923) Construction and extraction (61) **Construction supervisors score 39**, 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 15 for construction and extraction. ## Pay and outlook in the US Median pay $79,920 a year, May 2025 People employed 812,210 in the US, May 2025 Projected change in jobs +5.0% from 2024 to 2034 ## Skills to build - Run site inspections and punch lists in Procore - Check AI takeoff quantities against past job costs in Excel - Manage crew schedules in Oracle Primavera Enterprise - Read plans and specifications in Autodesk AutoCAD - Hold the OSHA 30-Hour Construction safety card - Negotiate scope changes with subcontractors in person ## Safer roles nearby 5 related occupations with lower scores. - [Landscaping supervisors38 out of 100](https://www.aigentcy.com/ai-exposure/landscaping-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/) - [Building inspectors34 out of 100](https://www.aigentcy.com/ai-exposure/building-inspectors/) - [Maintenance workers21 out of 100](https://www.aigentcy.com/ai-exposure/maintenance-workers/) ## Questions about construction supervisors and AI Will AI replace construction supervisors? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly recording production and personnel data on forms and ordering materials and supplies. Site presence, hands-on worker assistance, and negotiating with contractors stay with supervisors because they need a person on the job. Which tasks will AI take from construction supervisors? Recording site data leads with an exposure score of 80, since logs and production forms can be filled from voice notes. Ordering materials scores 65 because procurement systems can draft and submit routine orders. Estimating materials and workers scores 60 because AI takeoff tools pull quantities from plans and past jobs. Which construction supervisor tasks stay human? Assisting workers with hand tools scores 5 on exposure, since it is physical work done beside crews. Locating and marking site positions scores 8 because survey equipment needs a person on site. Negotiating with contractors scores 15 because it calls for live human judgement. How can construction supervisors stay valuable as AI spreads? Walk each site yourself and log what you see in Procore, since physical checks and crew trust carry the job. Check AI takeoff quantities in Excel against past job costs before any order goes out. Keep the schedule in Oracle Primavera and resolve trade conflicts by phone or in person. ## Related jobs - [Maintenance supervisors44 out of 100](https://www.aigentcy.com/ai-exposure/maintenance-supervisors/) - [Production supervisors43 out of 100](https://www.aigentcy.com/ai-exposure/production-supervisors/) - [Construction managers47 out of 100](https://www.aigentcy.com/ai-exposure/construction-managers/) - [Housekeeping supervisors42 out of 100](https://www.aigentcy.com/ai-exposure/housekeeping-supervisors/) ## Next steps for construction 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.