# Will fire supervisors be replaced by AI? Updated October 2026 Fire supervisors score 29 of 100 for AI exposure. The largest share of their task time, 63%, is work AI speeds up while they stay in charge. AI can take over 3% outright, and 34% stays with people. - **3%** AI can do it - **63%** AI helps - **34%** Needs a person Low exposure Lower than 64% of the 923 occupations we scored. ## Task by task We graded 30 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 19 and leaves 10 to people. | Task | AI exposure | | --- | --- | | Perform administrative duties, such as compiling and maintaining records, completing forms, preparing reports, or composing correspondence. Reports, forms and correspondence are core writing AI handles well. | 75% AI can do it | | Maintain required maps and records. Record keeping is mostly digital and well suited to AI. | 60% AI helps | | Study and interpret fire safety codes to establish procedures for issuing permits to handle hazardous or flammable substances. AI can interpret fire code text and draft permit procedures. | 60% AI helps | | Monitor fire suppression expenditures to ensure that they are necessary and reasonable. AI can flag unusual expenses, staff verify necessity and reasonableness. | 55% AI helps | | Participate in creating fire safety guidelines and evacuation schemes for nonresidential buildings. AI drafts guidelines and evacuation plans, experts check site specifics. | 55% AI helps | ## How fire supervisors compare All occupations (923) Protective service (26) **Fire supervisors score 29**, 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 31 for protective service. ## Pay and outlook in the US Median pay $93,530 a year, May 2025 People employed 99,140 in the US, May 2025 Projected change in jobs +3.7% from 2024 to 2034 ## Skills to build - Compile incident reports and forms in Microsoft Word - Maintain fire unit maps and records in GIS software - Track suppression expenditures in Microsoft Excel - Lead engine and hand crews on live fire assignments - Judge fire size and condition on scene - Build crew rosters that meet labor rules ## Safer roles nearby 3 related occupations with lower scores. - [Firefighters15 out of 100](https://www.aigentcy.com/ai-exposure/firefighters/) - [Farm supervisors28 out of 100](https://www.aigentcy.com/ai-exposure/farm-supervisors/) - [Ship engineers23 out of 100](https://www.aigentcy.com/ai-exposure/ship-engineers/) ## Questions about fire supervisors and AI Will AI replace fire supervisors? Partly. About 3 in 10 working hours of a fire supervisor's job go to tasks AI can already do, mostly writing reports and forms and keeping maps and records. Field leadership, equipment checks and on-scene judgment stay with people. Which fire supervisor tasks is AI taking over? Administrative duties such as compiling records, completing forms and preparing reports score 75 on exposure, the highest in this job, because reports and correspondence are core writing AI handles well. Maintaining maps and records scores 60 since record keeping is mostly digital. Drafting fire safety guidelines and evacuation schemes for nonresidential buildings scores 55, as AI produces the first draft and experts check site specifics. Which fire supervisor tasks stay human? Driving crew carriers scores 2 and emergency medical care with rescue work scores 3, since both are physical tasks done with hands at the site. Evaluating the size, location and condition of fires scores 8 because judging a fire needs eyes on the scene. Serving as working leader of a crew of three or more scores 5 because leading a crew in the field is live and physical. How can fire supervisors stay valuable? Start by using AI drafts for reports in Microsoft Word and Outlook, then spend the saved hours on field work. Keep the on-scene skills that score lowest on exposure, such as leading engine and hand crews and checking equipment before each shift. Learn GIS software well enough to check AI-updated fire unit maps against the ground. Review AI-built crew rosters against labor rules before posting them in Microsoft Excel. ## Related jobs - [Security supervisors35 out of 100](https://www.aigentcy.com/ai-exposure/security-supervisors/) - [Police supervisors36 out of 100](https://www.aigentcy.com/ai-exposure/police-supervisors/) - [Health and safety specialists38 out of 100](https://www.aigentcy.com/ai-exposure/health-and-safety-specialists/) - [Construction supervisors39 out of 100](https://www.aigentcy.com/ai-exposure/construction-supervisors/) ## Next steps for fire 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.