English Language and Literature Teachers, Postsecondary: daily tasks & AI impact
This page breaks English Language and Literature Teachers, Postsecondary into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 57/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Teach writing or communication classes. Core | 4.79 | — | — |
| Evaluate and grade students' class work, assignments, and papers. Core | 4.76 | — | — |
| Prepare course materials, such as syllabi, homework assignments, and handouts. Core | 4.68 | — | — |
| Initiate, facilitate, and moderate classroom discussions. Core | 4.65 | — | — |
| Maintain student attendance records, grades, and other required records. Core | 4.55 | — | — |
| Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction. Core | 4.36 | — | — |
| Prepare and deliver lectures to undergraduate or graduate students on topics such as poetry, novel structure, and translation and adaptation. Core | 4.2 | — | — |
| Assist students who need extra help with their coursework outside of class. Core | 4.2 | — | — |
| Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. Core | 4.09 | — | — |
| Compile, administer, and grade examinations, or assign this work to others. Core | 4.02 | — | — |
| Maintain regularly scheduled office hours to advise and assist students. Core | 3.96 | — | — |
| Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. Core | 3.95 | — | — |
| Advise students on academic and vocational curricula and on career issues. Core | 3.87 | — | — |
| Teach classes using online technology. Core | 3.86 | — | — |
| Schedule courses. Core | 3.76 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which English Language and Literature Teachers, Postsecondary tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which English Language and Literature Teachers, Postsecondary tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the English Language and Literature Teachers, Postsecondary task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.