# Will university administrators be replaced by AI? Updated October 2026 University administrators score 43 of 100 for AI exposure. The largest share of their task time, 64%, is work AI speeds up while they stay in charge. AI can take over 10% outright, and 26% stays with people. - **10%** AI can do it - **64%** AI helps - **26%** Needs a person Moderate exposure Higher than 58% of the 923 occupations we scored. ## Task by task We graded 27 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 18 and leaves 6 to people. | Task | AI exposure | | --- | --- | | Prepare reports on academic or institutional data. Report generation from institutional data is highly automatable. | 78% AI can do it | | Coordinate the production and dissemination of university publications, such as course catalogs and class schedules. Catalogs and schedules are text and data outputs AI produces readily. | 66% AI can do it | | Determine course schedules, and coordinate teaching assignments and room assignments to ensure optimum use of buildings and equipment. Scheduling software optimizes course and room assignments with review. | 62% AI can do it | | Review registration statistics, and consult with faculty officials to develop registration policies. AI analyzes registration data and drafts policy options quickly. | 58% AI helps | | Plan, administer, and control budgets, maintain financial records, and produce financial reports. AI handles reconciliation, variance analysis and report drafts. | 55% AI helps | ## How university administrators compare All occupations (923) Management (56) **University administrators 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 46 for management. ## Pay and outlook in the US Median pay $104,590 a year, May 2025 People employed 180,470 in the US, May 2025 Projected change in jobs +1.8% from 2024 to 2034 ## Skills to build - Run budget variance analysis in Microsoft Excel and SAP - Manage course and room scheduling rules in your SIS - Lead accreditation self-study and site visit reports - Make faculty appointment and performance review decisions - Supervise support staff through reviews and conflict resolution ## Safer roles nearby 4 related occupations with lower scores. - [Middle school CTE teachers35 out of 100](https://www.aigentcy.com/ai-exposure/middle-school-cte-teachers/) - [Chief executives42 out of 100](https://www.aigentcy.com/ai-exposure/chief-executives/) - [High school teachers41 out of 100](https://www.aigentcy.com/ai-exposure/high-school-teachers/) - [Middle school teachers42 out of 100](https://www.aigentcy.com/ai-exposure/middle-school-teachers/) ## Questions about university administrators and AI Will AI replace university administrators? Partly. About 4 in 10 working hours go to tasks AI can already do, mostly report preparation and the production of catalogs and class schedules. What stays with people is supervising staff, appointing faculty and representing the institution in person. Which tasks is AI taking over for university administrators? Report preparation on institutional data scores highest, at 78, because AI builds reports from structured records. Catalog and class schedule production (66) is text and data output that AI produces readily. Course and room scheduling (62) is handled by scheduling software, with a person reviewing the result. Which tasks stay human for university administrators? Representing the institution at events and accreditation visits (exposure 12) stays in person. Appointing faculty and evaluating their performance (17) needs human accountability. Directing support staff (18) takes interpersonal judgment, and a person holds that judgment in every review and conflict meeting. How can university administrators stay valuable? Take charge of budget variance analysis in Excel and SAP, and explain the results to deans and department heads. Check every AI-drafted catalog, class schedule and registration policy option before it goes out through SharePoint or the SIS. Put more time into accreditation self-studies, committee chairing and staff supervision, where people carry the decisions. ## Related jobs - [Principals44 out of 100](https://www.aigentcy.com/ai-exposure/principals/) - [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/) - [Career counselors49 out of 100](https://www.aigentcy.com/ai-exposure/career-counselors/) - [Graduate teaching assistants47 out of 100](https://www.aigentcy.com/ai-exposure/graduate-teaching-assistants/) ## Next steps for university administrators - ### 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.