Foreign 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.

No strongly automatable task in the current data release.

Augmentable tasks

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

• Compile bibliographies of specialized materials for outside reading assignments.51
• Compile, administer, and grade examinations, or assign this work to others.48
• Maintain student attendance records, grades, and other required records.47

Most durable tasks

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

• Collaborate with colleagues to address teaching and research issues.16
• Advise students on academic and vocational curricula and on career issues.26
• Conduct research in a particular field of knowledge and publish findings in scholarly journals, books, or electronic media.29

Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 38 puts Foreign Language and Literature Teachers, Postsecondary in the least-exposed quarter of analyzed occupations. In practice, exposure this level is about the mix: 0 of 20 analyzed tasks lean automatable, 16 augmentable, and 4 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.

One next move: lean into the durable core above and adopt AI on the routine remainder before it becomes a mandate.

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

• $79,350median wage
• 19,830employed
• 1,900annual 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.

• English Language and Literature Teachers, Postsecondary 39
• Area, Ethnic, and Cultural Studies Teachers, Postsecondary 33
• Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors 31
• History Teachers, Postsecondary 42
• Secondary School Teachers, Except Special and Career/Technical Education 33
• Middle School Teachers, Except Special and Career/Technical Education 32

FAQ — Foreign Language and Literature Teachers, Postsecondary

What does a score of 38 mean for a Foreign Language and Literature Teachers, Postsecondary?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 38 on a 0–100 exposure scale — in the least-exposed quarter 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?

This role has no strongly automatable task in the current data release.

Which parts of this job are most durable?

The most durable responsibilities are: Collaborate with colleagues to address teaching and research issues; Advise students on academic and vocational curricula and on career issues; Conduct research in a particular field of knowledge and publish findings in scholarly journals, books, or electronic media. 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.