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Postsecondary Teacher
Three components - Automation Resistance, Structural Moat, and Demand - add up to 59.
This score covers the postsecondary-teacher family as a whole. Discipline, institution type, tenure status, and adjunct/contingent labor exposure differ materially; the representative AI/qualitative row is used because the family aggregate does not publish every exposure field.
Routine content, grading, tutoring, and course-shell work create real AI exposure, especially in large intro classes, while advanced mentorship, live discussion, lab or studio supervision, clinical teaching, and research judgment still need people with field depth.
Observed AI exposure for the representative education-faculty occupation is 26.21%, with modeled median job-loss risk at 23.66%. That puts faculty work in a more exposed range than licensed K-12 classroom teaching. AI reaches content prep, quizzes, grading support, tutoring, and course shells directly; advanced mentorship, lab or studio supervision, clinical teaching, and research judgment still require people.
AI support is useful for draft lectures, summaries, reading guides, feedback, rubrics, advising triage, and administrative work. The worker upside is limited because institutions can also standardize courses, reuse shells, raise teaching loads, or shift more work to contingent instructors. The tools help, but colleges can capture much of the productivity gain.
Doctorates, terminal degrees, accreditation, program standards, and discipline reputation create a real barrier to entry, but that barrier protects full-time faculty much more than adjunct or standardized course delivery in lower-control teaching lanes with weak bargaining power.
Faculty work is mostly classrooms, offices, online platforms, labs, studios, field sites, and clinical teaching settings. The representative physical data is thin, so the score leans on work-setting evidence: not office-only, but not consistently physical enough to create a high barrier. Discipline-specific lab, clinical, studio, and field work lifts the score above pure desk work.
Postsecondary faculty do not have one uniform state license. The protection comes from accreditation, terminal-degree expectations, professional-program standards, research compliance, student privacy rules, and discipline-specific licenses in some fields. Those rules shape who colleges can hire, but they protect programs and qualifications more than individual teaching seats.
Robotics is not the main threat to faculty work. Teaching, advising, research supervision, studio critique, clinical instruction, and academic judgment do not have a broad robot replacement path. The pressure comes from software, course delivery, staffing models, and enrollment economics rather than physical automation.
Many full-time faculty roles require a doctorate, terminal professional degree, Master of Fine Arts, publication record, clinical expertise, or discipline reputation. That is a deep barrier for entry and advancement. It does not guarantee a stable seat, because adjunct roles can use similar teaching skills without the same security.
The faculty labor market is large, but seat quality and field mix matter: health, technical, professional, lab, and research-heavy programs can need faculty while enrollment pressure, real pay drag, and contingent labor weaken the broad market.
The family count used for scoring is large: about 1.72 million jobs, about 136,400 annual openings, and roughly 5.9% projected growth. The public faculty profile a reader can check shows about 1.42 million jobs and about 114,000 openings after excluding career/technical and all-other groups, which still supports the same volume score.
The demand evidence is mixed rather than weak. Replacement hiring, professional programs, health specialties, lab and studio instruction, retirements, and field-specific growth support need. Enrollment cliffs, state funding pressure, adjunct standardization, and AI-supported course delivery keep the demand story from reaching the top band.
Higher education is durable, but it is exposed to enrollment shifts, state funding, tuition pressure, online delivery, adjunct labor, and real-wage drag. A 2015 all-postsecondary median inflated into 2025 dollars is about $87,500, above the 2025 family median of $82,250. That pay pressure matters for a long credential path.
The threshold is visible hiring contraction: fewer full-time searches, more canceled sections, heavier reliance on contingent instructors, or department cuts beyond already weak fields. Enrollment weakness alone is not enough; it has to change funded teaching seats that students can actually compete for.
The score would weaken if colleges use AI tutoring, grading support, and course shells to reduce instructor time in large intro or online courses. The trigger is a staffing model change, not just more teaching tools or faculty experimenting with software.
The score would strengthen if health, technical, lab, studio, or professional programs create durable full-time teaching seats with stable funding. Strong student interest alone is not enough; the gain has to show up in jobs with pay, benefits, and renewal security.