Family and Consumer Sciences Teachers, Postsecondary
Teach courses in childcare, family relations, finance, nutrition, and related subjects pertaining to home management. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Also known as: Chef Instructor · Cooking Teacher · Adjunct Professor · College Professor · Adjunct Instructor · Assistant Professor
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Your free role snapshot
Start with the work, not the headline
This occupation baseline already contains different kinds of work. These are the two ends of its current task range and one useful action you can take now.
Most exposed task
Maintain student attendance records, grades, and other required records.
Automatable 75/100 exposure
Most durable task
Participate in campus and community events.
Durable 15/100 exposure
Useful next step
Make one change to the task mix
Compare one real week with the exposed tasks, test one supervised delegation, and redirect the saved time toward more durable work.
Want this mapped to your actual week? Know what to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days.
Build my 7/30/90-day action plan — $9Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Maintain student attendance records, grades, and other required records.75
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Compile bibliographies of specialized materials for outside reading assignments.70
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Prepare course materials, such as syllabi, homework assignments, and handouts.65
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Compile, administer, and grade examinations, or assign this work to others.60
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Evaluate and grade students' class work, laboratory work, projects, assignments, and papers.55
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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Participate in campus and community events.15
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Maintain regularly scheduled office hours to advise and assist students.20
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Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.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 39 puts Family and Consumer Sciences 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, 7 augmentable, and 11 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
- $75,870median wage
- 2,770employed
- 200annual openings
- +3.1%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Turn your actual week into a plan
Know which work to strengthen, what to delegate to AI with review, and what to do over the next 7, 30, and 90 days. Your $9 plan includes a confidence-rated personal score, task matrix, human moat, and only genuinely lower-exposure adjacent roles.
Build my 7/30/90-day action plan — $9Related roles
Adjacent by skills or family — no exposure claim implied.
How this score was calculated
The score is the plain average of the AI-exposure values of this role’s 20 analyzed tasks (equal task weights in this release — no hidden factors):
- Automatable 2 tasks, averaging 73/100 exposure
- Augmentable 7 tasks, averaging 51/100 exposure
- Durable 11 tasks, averaging 25/100 exposure
score = (2×73 + 7×51 + 11×25) ÷ 20 ≈ 39
Every task’s exposure value was scored against a published anchored rubric that scores tasks as actually performed — physical, in-person, and accountability requirements included (data release 2026.07.12-r2). The band (High) is a corpus quartile; the percentile is tie-aware across all 968 occupations.
FAQ — Family and Consumer Sciences Teachers, Postsecondary
- Will AI replace Family and Consumer Sciences 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 39 mean for a Family and Consumer Sciences Teachers, Postsecondary?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 39 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; Compile bibliographies of specialized materials for outside reading assignments. 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; Maintain regularly scheduled office hours to advise and assist students; Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. 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.
Score version jr-v1 · data release 2026.07.12-r2 · updated 2026-07-13 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology