Education & Training · Updated Aug 2026

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.

JVS 2.0.0-phase4b
AI Exposure
72/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
64/100
High

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence81/100
Task coverage82%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Evaluate and grade students' class work, laboratory work, projects, assignments, and papers.High
74
Maintain student attendance records, grades, and other required records.High
72
Maintain regularly scheduled office hours to advise and assist students.High
70
Prepare course materials, such as syllabi, homework assignments, and handouts.High
75
Compile, administer, and grade examinations, or assign this work to others.High
75
Prepare and deliver lectures to undergraduate or graduate students on topics such as food science, nutrition, and child care.High
61
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.High
74
Supervise undergraduate or graduate teaching, internship, and research work.High
75
Perform administrative duties, such as serving as department head.High
76
Advise students on academic and vocational curricula and on career issues.High
62
Collaborate with colleagues to address teaching and research issues.Medium
73
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.High
74
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.Medium
75
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.Medium
73
Participate in student recruitment, registration, and placement activities.Medium
64
Compile bibliographies of specialized materials for outside reading assignments.Medium
75
Provide professional consulting services to government or industry.Medium
76
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Perform administrative duties, such as serving as department head.76
  2. Provide professional consulting services to government or industry.76
  3. Prepare course materials, such as syllabi, homework assignments, and handouts.75
  4. Compile, administer, and grade examinations, or assign this work to others.75
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Prepare course materials, such as syllabi, homework assignments, and handouts.01
  2. Compile, administer, and grade examinations, or assign this work to others.02
  3. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.03
  4. Perform administrative duties, such as serving as department head.04
  5. Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency55
Physical dependency26
Adoption pressure55
Labour-market resilience54
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence81/100
CalculatedAug 21, 2026
Read methodology →