# Will art professors be replaced by AI? Updated October 2026 Art professors score 49 of 100 for AI exposure. The largest share of their task time, 54%, is work AI speeds up while they stay in charge. AI can take over 14% outright, and 32% stays with people. - **14%** AI can do it - **54%** AI helps - **32%** Needs a person Moderate exposure Higher than 72% of the 923 occupations we scored. ## Task by task We graded 28 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 15 and leaves 9 to people. | Task | AI exposure | | --- | --- | | Compile bibliographies of specialized materials for outside reading assignments. Search and database tools can compile bibliographies quickly. | 78% AI can do it | | Maintain student attendance records, grades, and other required records. Routine digital record keeping suits software automation well. | 75% AI can do it | | Prepare course materials, such as syllabi, homework assignments, and handouts. Drafting syllabi and handouts is routine text generation. | 72% AI can do it | | Keep students informed of community events, such as plays and concerts. Drafting announcements and newsletters is routine writing work. | 70% AI can do it | | Write grant proposals to procure external research funding. AI can draft proposal text; funder fit and strategy need judgment. | 55% AI helps | ## How art professors compare All occupations (923) Educational instruction and library (62) **Art professors score 49**, 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 45 for educational instruction and library. ## Pay and outlook in the US Median pay $78,620 a year, May 2025 People employed 93,560 in the US, May 2025 Projected change in jobs +2.2% from 2024 to 2034 ## Skills to build - Run studio critiques and live rehearsal direction in person - Mount and curate student exhibitions in gallery spaces - Lead Socratic seminar discussions with live students - Write grant proposals for external arts research funding - Revise studio curricula in Learning management system LMS - Maintain office hours for one-on-one student advising ## Safer roles nearby 5 related occupations with lower scores. - [Self-enrichment teachers43 out of 100](https://www.aigentcy.com/ai-exposure/self-enrichment-teachers/) - [Graduate teaching assistants47 out of 100](https://www.aigentcy.com/ai-exposure/graduate-teaching-assistants/) - [Ethnic studies professors44 out of 100](https://www.aigentcy.com/ai-exposure/ethnic-studies-professors/) - [Architecture professors45 out of 100](https://www.aigentcy.com/ai-exposure/architecture-professors/) - [Composers48 out of 100](https://www.aigentcy.com/ai-exposure/composers/) ## Questions about art professors and AI Will AI replace art professors? Partly. About 3 in 10 working hours go to tasks AI can already do, mostly compiling bibliographies and maintaining student records. The rest of the job stays with people, and most remaining work is augmented, with faculty using AI as a drafting aid while they decide content and judgment. Which tasks AI is taking over for art professors? Bibliography compilation scores 78 on exposure and record keeping scores 75, so both are the most automatable. Search tools can build reading lists quickly, and software handles attendance and grade entries. Drafting syllabi and student newsletters also falls to AI, since these are routine text tasks. Which tasks stay human for art professors? Displaying student work scores 8 on exposure, and directing performance rehearsals scores 10. Mounting exhibitions and leading live rehearsals need physical presence and hands-on skill. Office hours score 15, because advising students depends on personal judgment in a live meeting. How can art professors stay valuable as AI takes over routine tasks? Spend more time on studio critiques, live rehearsals, and exhibition installs, which score low on exposure. Use Microsoft Word and Google Docs to draft syllabi, then revise them yourself in your Learning management system LMS. Build a grant track record, since funder fit and strategy still need your judgment. ## Related jobs - [English professors53 out of 100](https://www.aigentcy.com/ai-exposure/english-professors/) - [Instructional coordinators59 out of 100](https://www.aigentcy.com/ai-exposure/instructional-coordinators/) - [Education professors52 out of 100](https://www.aigentcy.com/ai-exposure/education-professors/) - [High school teachers41 out of 100](https://www.aigentcy.com/ai-exposure/high-school-teachers/) ## Next steps for art professors - ### 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.