English Language and Literature Teachers, Postsecondary

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Maintain student attendance records, grades, and other required records.70
• Schedule courses.60

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Prepare course materials, such as syllabi, homework assignments, and handouts.55
• Compile, administer, and grade examinations, or assign this work to others.50
• Select and obtain materials and supplies, such as textbooks.50

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Participate in campus and community events.10
• Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.15
• Initiate, facilitate, and moderate classroom discussions.20

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 36 puts English Language and Literature Teachers, Postsecondary in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 2 of 20 analyzed tasks lean automatable, 9 augmentable, and 9 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $78,760median wage
• 57,720employed
• 5,100annual openings
• +0.0%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Area, Ethnic, and Cultural Studies Teachers, Postsecondary 39
• Foreign Language and Literature Teachers, Postsecondary 40
• Philosophy and Religion Teachers, Postsecondary 36
• Sociology Teachers, Postsecondary 40
• History Teachers, Postsecondary 43
• Art, Drama, and Music Teachers, Postsecondary 38

How this score was calculated

FAQ — English Language and Literature Teachers, Postsecondary

Will AI replace English Language and Literature Teachers, Postsecondary?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 36 mean for a English Language and Literature Teachers, Postsecondary?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 36 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Maintain student attendance records, grades, and other required records; Schedule courses. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.

Which parts of this job are most durable?

The most durable responsibilities are: Participate in campus and community events; Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues; Initiate, facilitate, and moderate classroom discussions. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.