Somewhat Resilient

Last Update: 8/30/2026

AI Resilience Score for English/Lit Teachers, Postsecondary:

41.2%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium-high

Contributing sources

Methodology and Scoring Rationale

To score how resilient teaching English language and literature at the college level is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For English and literature professors, all eight sources had data, and most agreed: Anthropic, Microsoft, and OpenAI Signals all flagged high AI exposure, while AI Resilience Model and Will Robots Take My Job were more moderate. Weak hiring and employer demand pulled the score down, though medium economic opportunity softened the drop, landing this career at "Somewhat Resilient."

AI Resilience Report forEnglish Language and Literature Teachers, Postsecondary

$78,760 median salary4,500 annual openingsSOC 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.

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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.

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Analysis of Current AI Resilience

English/Lit Teachers, Postsecondary

Updated Quarterly

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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Will AI replace English/Lit Teachers, Postsecondary?

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.

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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.

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.

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

97% ResilienceCore Task

Participate in cultural and literary activities, such as traveling abroad and attending performing arts events.

2

95% ResilienceCore Task

Participate in campus and community events.

3

94% ResilienceCore Task

Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.

4

94% ResilienceSupplemental

Act as advisers to student organizations.

5

93% ResilienceSupplemental

Perform administrative duties, such as serving as department head.

6

93% ResilienceSupplemental

Recruit, train, and supervise department personnel, such as faculty and student writing instructors.

7

92% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.