# Will english professors be replaced by AI? Updated October 2026 English professors score 53 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 12% outright, and 29% stays with people. - **12%** AI can do it - **59%** AI helps - **29%** Needs a person High exposure Higher than 81% of the 923 occupations we scored. ## Task by task We graded 33 tasks, listed here from most to least exposed. AI can do 3 of them today, speeds up 20 and leaves 10 to people. | Task | AI exposure | | --- | --- | | Prepare course materials, such as syllabi, homework assignments, and handouts. LLMs draft syllabi, assignments and handouts; instructor reviews. | 70% AI can do it | | Maintain student attendance records, grades, and other required records. Attendance and grade records are routine digital data entry. | 70% AI can do it | | Compile bibliographies of specialized materials for outside reading assignments. AI compiles reading lists fast; citations need accuracy checks. | 65% AI helps | | Evaluate and grade students' class work, assignments, and papers. AI drafts feedback and rubric scores; instructor verifies and finalizes. | 60% AI helps | | Schedule courses. Scheduling software and optimizers handle most timetabling logic. | 60% AI can do it | ## How English professors compare All occupations (923) Educational instruction and library (62) **English professors score 53**, 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 $78,760 a year, May 2025 People employed 57,720 in the US, May 2025 Projected change in jobs 0.0% from 2024 to 2034 ## Skills to build - Verify AI-compiled bibliographies against library catalogs and primary texts - Lead live seminar discussions in person - Grade and finalize AI-drafted feedback in the LMS - Hold in-person office hours for student advising - Draft and revise scholarly manuscripts in Microsoft Word ## Safer roles nearby 5 related occupations with lower scores. - [Ethnic studies professors44 out of 100](https://www.aigentcy.com/ai-exposure/ethnic-studies-professors/) - [Philosophy professors51 out of 100](https://www.aigentcy.com/ai-exposure/philosophy-professors/) - [Sociology professors44 out of 100](https://www.aigentcy.com/ai-exposure/sociology-professors/) - [History professors52 out of 100](https://www.aigentcy.com/ai-exposure/history-professors/) - [Art professors49 out of 100](https://www.aigentcy.com/ai-exposure/art-professors/) ## Questions about English professors and AI Will AI replace english professors? Partly. About 4 in 10 of an English professor's working hours go to tasks AI can already do, mostly preparing course materials and maintaining attendance and grade records. Live teaching, discussion, and advising stay with people because they depend on physical presence and rapport. Which tasks is AI taking over for English professors? Preparing syllabi, homework assignments, and handouts has an exposure score of 70, and maintaining attendance and grade records also scores 70. AI drafts these materials, and records are routine digital entry, so the work shifts to reviewing drafts. Scheduling courses, at exposure 60, is handled by timetabling optimizers. Which tasks stay human for English professors? Leading live classroom discussions, at exposure 10, and holding in-person office hours, at exposure 15, stay with English professors. Both need real time presence and rapport that only a person in the room can give. Collaborating with colleagues, also at 15, relies on shared context built over years. How can English professors stay valuable as AI changes their work? Verify every AI-compiled bibliography against library catalogs and the primary texts, since citation accuracy is the augmented step. Use the learning management system to check AI-drafted rubric scores before grades post. Spend the time saved on seminars, advising, and office hours, which need a person present. Publish scholarship in Word manuscripts. ## Related jobs - [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/) - [Middle school teachers42 out of 100](https://www.aigentcy.com/ai-exposure/middle-school-teachers/) - [Elementary school teachers41 out of 100](https://www.aigentcy.com/ai-exposure/elementary-school-teachers/) ## Next steps for English 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.