Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for English/Lit Teachers, Postsecondary:
41.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forEnglish Language and Literature Teachers, Postsecondary
$78,760 median salary•4,500 annual openings•SOC Code: 25-1123.00
English Language and Literature Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
English Language and Literature teachers at the college level earn the "Somewhat Resilient" label because AI is genuinely changing parts of the job (like grading, administrative tasks, and giving student feedback) while leaving the most human parts of teaching largely intact. The core skills that make a great English professor, including mentoring students, leading rich discussions, and helping people find their voice as writers and thinkers, are exactly the things AI cannot reliably replace.
Learn more about how you can thrive in this position
This role is somewhat resilient
English Language and Literature teachers at the college level earn the "Somewhat Resilient" label because AI is genuinely changing parts of the job (like grading, administrative tasks, and giving student feedback) while leaving the most human parts of teaching largely intact. The core skills that make a great English professor, including mentoring students, leading rich discussions, and helping people find their voice as writers and thinkers, are exactly the things AI cannot reliably replace.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
English/Lit Teachers, Postsecondary
Updated Quarterly

How is AI changing English/Lit Teachers, Postsecondary jobs?
Right now, AI is mostly augmenting — not replacing — postsecondary English teachers, but the pressure is real. On the classroom side, generative AI is being used to help draft syllabi, build reading lists, give students instant feedback, and speed up grading. But a new study covered in Times Higher Education [1] found that AI tools typically award higher marks on average than humans and cannot be relied on to give an accurate indication of a student's performance, especially since ChatGPT "do not reliably reproduce human judgement in the marking of extended written work" — so grading essays is being tried, not trusted.
Professional groups are shaping how AI is used: the National Council of Teachers of English published a working framework [2] built around student voice and agency, critical AI literacy, and redefining academic integrity in the age of AI. Meanwhile, Ithaka S+R notes [3] that colleges are using AI for administrative workflows, student support, advising, library operations, and routine analysis — the exact record-keeping and scheduling tasks central to this job. The human parts — mentoring, discussion, close reading — remain hardest to automate.
Sources

How fast is AI adoption growing for English/Lit Teachers, Postsecondary?
Adoption is happening fast on the student side but unevenly among faculty. The Chronicle of Higher Education reports [4] that AI has "taken a lot of the joy and excitement of teaching out of it" for some English professors, pushing them into early retirement. Financial pressure is another driver: Inside Higher Ed reported [5] that NCTE recently dissolved the 77-year-old Conference on College Composition and Communication, with members speculating that differing stances on artificial intelligence could have factored into the decision.
Ithaka S+R cautions that new technologies often require new staffing, training, governance, and support, and in the short run AI may add costs even as it creates the possibility of longer-term efficiencies. Ethical concerns — accuracy, fairness, and protecting authentic student thinking — are slowing full adoption. The good news: the skills that make a great English teacher — helping people find their voice, argue carefully, and love a good book — are exactly what AI struggles to do.
If you're drawn to this field, lean into those human strengths.
Sources

Will AI replace English/Lit Teachers, Postsecondary?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 41.2% AI Resilience Score puts this role in real but not catastrophic territory. AI is already doing some of the lighter lifting: drafting syllabi, building reading lists, and speeding up feedback. But research shows that AI tools award higher marks on average than humans and cannot reliably reproduce human judgment when grading extended written work [1]. That gap matters enormously in a field built on nuanced reading and careful argument.
The human core of this job, mentoring students, leading discussion, helping people find their voice, is exactly what AI struggles to replicate. The National Council of Teachers of English has built a working framework centered on student voice, critical AI literacy, and academic integrity [2], which signals that the profession is actively shaping how AI gets used rather than just absorbing it. That kind of professional leadership tends to protect a field.
The honest part: job market demand is soft through 2034, and financial pressure on colleges is real [5]. Some faculty are already leaving [4]. If you love this work, go in clear-eyed. Build skills in AI literacy, mentorship, and the kinds of close reading no tool can fake. Those are your strongest assets in a field that is changing but not disappearing.
Sources

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Latest AI news for English/Lit Teachers, Postsecondary
These articles highlight the transformative role of AI in English language and literature education. For example, the study on ChatGPT's acceptance among foreign language learners emphasizes how AI tools can enhance language acquisition, offering innovative teaching methods. Additionally, the exploration of AI challenges in classroom integration points to the need for educators to adapt and stay resilient amid technological advancements. Embracing these changes can empower future teachers to create engaging learning environments and effectively support diverse student needs.
Challenges in Integrating AI-Based Tools into Classroom ...
journal-center.litpam.com • 8/20/2026
Sep 17, 2025 — This study explores the challenges faced by English teachers in integrating artificial intelligence (AI)-based tools—such as Grammarly and ... Read more

Artificial intelligence in higher education, opportunities, and challenges: a review
www.frontiersin.org • 1/28/2026
Artificial intelligence (AI) is a growing force of change in higher education, providing assistance to students, teachers,...

Reflection-AI: exploring the challenges and opportunities of artificial intelligence in higher education
www.frontiersin.org • 6/3/2025
A rigorous debate is underway regarding the use of artificial intelligence (AI) in higher education. Risk perceptions regarding AI range...

Factors influencing the acceptance and use of ChatGPT among English as a foreign language learners in Saudi Arabia
www.nature.com • 5/7/2025
With accelerating advancements in artificial intelligence (AI) technologies, which have provided new possibilities for language learning and...

College professors face the highest exposure to AI tools, study finds
universitybusiness.com • 3/24/2023
Of the 20 occupations most exposed to AI language modeling capabilities, 14 of them were postsecondary teachers.
More Career Info
Career: English Language and Literature Teachers, Postsecondary
They teach college students about English and literature, helping them understand books, improve writing skills, and appreciate different texts.
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Employment & Wage Data
Median Wage
$78,760
Jobs (2025)
69,300
Growth (2025-35)
+0.0%
Annual Openings
4,500
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in cultural and literary activities, such as traveling abroad and attending performing arts events.
2
Participate in campus and community events.
3
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
4
Act as advisers to student organizations.
5
Perform administrative duties, such as serving as department head.
6
Recruit, train, and supervise department personnel, such as faculty and student writing instructors.
7
Initiate, facilitate, and moderate classroom discussions.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
