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Education & Training · Updated Aug 2026

Health Specialties Teachers, Postsecondary

Teach courses in health specialties, in fields such as dentistry, laboratory technology, medicine, pharmacy, public health, therapy, and veterinary medicine.

JVS 2.0.0-phase4b
AI Exposure
69/100
High

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

Replacement Risk
58/100
Moderate

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
Confidence80/100
Task coverage81%

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
Perform administrative duties, such as serving as department head.High
75
Evaluate and grade students' class work, assignments, and papers.High
69
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.High
74
Maintain student attendance records, grades, and other required records.High
67
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 public health, stress management, and work site health promotion.High
64
Maintain regularly scheduled office hours to advise and assist students.Medium
65
Supervise undergraduate or graduate teaching, internship, and research work.Medium
69
Collaborate with colleagues to address teaching and research issues.Medium
67
Prepare course materials, such as syllabi, homework assignments, and handouts.High
75
Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.High
73
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.Medium
74
Advise students on academic and vocational curricula and on career issues.Medium
59
Select and obtain materials and supplies, such as textbooks and laboratory equipment.Medium
72
Participate in student recruitment, registration, and placement activities.Medium
60
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.Medium
72
Compile bibliographies of specialized materials for outside reading assignments.Medium
75
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.75
  2. Compile, administer, and grade examinations, or assign this work to others.75
  3. Prepare course materials, such as syllabi, homework assignments, and handouts.75
  4. Compile bibliographies of specialized materials for outside reading assignments.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. Perform administrative duties, such as serving as department head.01
  2. Evaluate and grade students' class work, assignments, and papers.02
  3. Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.03
  4. Maintain student attendance records, grades, and other required records.04
  5. Compile, administer, and grade examinations, or assign this work to others.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.

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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 dependency59
Physical dependency36
Adoption pressure53
Labour-market resilience64
Methodology & sources

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

Confidence80/100
CalculatedAug 21, 2026
Read methodology →