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This page explains how the Durability Score is built — the components, the evidence behind each one, and the named sources. For who this work fits and what a career path through it looks like, see the Deep Read. For your personalized match, take the free quiz.
Where the 61 comes from.

Three components - Automation Resistance, Structural Moat, and Demand - add up to 61.

FJP Durability Score
61/100
Automation Resistance
24/40

Automation Resistance is lower than elementary because subject content, grading, tutoring, course materials, and feedback are more reachable by AI. The classroom still needs a teacher, but the exposed layer is closer to the center of the job.

Sub-components
Substitution Resistance
18/30

Observed AI exposure for high school teachers is 29.0%, while modeled median job-loss risk is about 9.7%. AI reaches lesson drafts, examples, quizzes, rubrics, writing feedback, tutoring support, summaries, and first-pass grading. Live classroom management, adolescent trust, labs or activities, and school accountability still need people.

Sources feeding this sub-component
Anthropic / Massenkoff-McCrory observed exposure → Shows 29.0% observed AI exposure for secondary school teachers.
Tufts American AI Jobs Risk Index → Shows modeled job-loss risk around 9.7% for secondary school teachers.
BLS Occupational Outlook Handbook - High School Teachers → Describes subject teaching, grading, classroom rules, family contact, and supervision duties.
Augmentation Leverage
6/10

AI can help with examples, lesson plans, quizzes, rubrics, summaries, tutoring prompts, translation, and parent or student communication. The employee upside is capped because pay usually follows public-school salary schedules, and districts can capture the productivity lift through standardized materials or larger workload expectations.

Sources feeding this sub-component
Anthropic Economic Index primitives → Documents AI use around drafting, tutoring, summarizing, feedback, and routine communication tasks.
BLS Occupational Outlook Handbook - High School Teachers → Shows the teaching, grading, subject-preparation, and communication task mix.
Structural Moat
25/35

The moat comes from state secondary certification, subject preparation, student teaching, school accountability, and a classroom setting robots cannot replace. The formal gate is real, even though software reaches a larger share of grading and content work.

Sub-components
Physical & Environmental
5/10

Federal physical-requirements data shows light lifting and a high standing/walking share. High school teaching is school-building work: classrooms, hallways, labs for some subjects, lunch or detention supervision, student behavior, crowds, and public-facing stress. It is not heavy field work, but it is not pure desk work.

Sources feeding this sub-component
BLS Occupational Requirements Survey - Secondary School Teachers → Shows light lifting, high standing/walking, and outdoor exposure measures for secondary teachers.
BLS Occupational Outlook Handbook - High School Teachers → Describes classroom, school-building, grading, and supervision duties.
Regulatory Moat
8/12

Public high-school teachers generally need state certification or licensure for the grade level, often tied to subject background. That creates a meaningful gate to public-school employment. Private schools, alternative routes, and emergency credentials keep it below the strongest licensed professions, but the public path is not open-entry work.

Sources feeding this sub-component
BLS Occupational Outlook Handbook - High School Teachers → Explains bachelor's degree and public-school certification or licensure requirements.
BLS Occupational Requirements Survey - Secondary School Teachers → Shows the education and preparation profile for secondary teachers.
Robotics Resistance
8/8

Classroom supervision, adolescent behavior, labs and activities, family communication, school rules, and the adult authority inside a changing room have no credible robot replacement path. The relevant pressure is software reaching content and grading tasks, not machines replacing teachers in normal high-school classrooms.

Sources feeding this sub-component
IFR World Robotics service robots executive summary → Shows service-robot deployment patterns; high-school teaching is not a broad robot-substitution use case.
BLS Occupational Outlook Handbook - High School Teachers → Shows the in-person classroom and school-accountability center of the work.
Credential Depth
4/5

The public job profile lists secondary teaching as Job Zone 4, and the entry path normally includes a bachelor's degree, subject preparation, teacher preparation, student teaching, certification exams, and state authorization. That is substantial preparation, but shorter than the deepest professional-school paths.

Sources feeding this sub-component
O*NET Job Zone 25-2031.00 → Lists the occupation as Job Zone 4.
BLS Occupational Outlook Handbook - High School Teachers → Describes the bachelor's degree, subject preparation, and state certification path.
Demand
12/25

Demand has scale, not momentum: replacement hiring keeps many openings visible, while the national employment line declines. Subject shortages can improve the local case, but enrollment, class-size policy, district budgets, and real wage pressure keep broad demand in the middle.

Sub-components
Volume
2/10

Secondary teaching remains a million-worker market: federal projections show about 1.09 million jobs and about 66,000 annual openings. The same source shows decline near 2%, so the size of the base does not make the hiring signal strong.

Sources feeding this sub-component
BLS Employment Projections → Shows about 1.09 million jobs, about 66,000 annual openings, and a projected decline near 2%.
Source Quality
6/8

Evidence points in two directions. High schools need accountable adults, replacement hiring is large, and subject shortages can be real. At the same time, the national occupation is tied to enrollment patterns, state and local budgets, class-size policy, and district staffing choices.

Sources feeding this sub-component
BLS Occupational Outlook Handbook - High School Teachers → Provides the occupation profile, work settings, and demand context for high-school teachers.
Learning Policy Institute teacher workforce dashboard → Provides local shortage and teacher-workforce context beyond the national projection.
Resilience
4/7

Instruction, assessment, supervision, safety, family contact, and school rules still require human teachers. The weak spots are public budgets, class sizes, enrollment, and pay. The 2015 median wage benchmark inflates above the current median wage, so the real-wage pressure is visible.

Sources feeding this sub-component
BLS Career Outlook - Teaching for a Living → Provides the 2015 median wage benchmark used to compare real pay.
BLS Occupational Employment and Wage Statistics → Shows the current national median wage for secondary school teachers.
Learning Policy Institute teacher workforce dashboard → Provides teacher-workforce context around staffing pressure and shortages.
What would move the score
Scenario 1
AI courseware standardizes lecture-heavy subjects.

The case weakens if districts use AI tutoring, prebuilt materials, automated feedback, and larger classes to reduce demand for teachers in standardized courses. The trigger is staffing and class-size change across normal schools over time, not one software pilot alone.

Direction
Down, material
Components affected
Automation Resistance, Demand
Scenario 2
Hard-to-staff subjects keep strong local hiring.

The case improves if math, science, bilingual, career-technical, or other hard-to-staff subjects show sustained vacancies, stipends, and stable class sizes. The proof is sustained local hiring power in a specific subject area, not the broad teacher title alone over time.

Direction
Up, modest
Components affected
Demand
Scenario 3
Teacher tools reduce grading load without enlarging classes.

The case improves a little if districts use AI to reduce grading, feedback, translation, and preparation workload while keeping human class sizes and teacher authority intact. The proof is teachers actually getting time back, not only more software in the workflow.

Direction
Up, small
Components affected
Automation Resistance
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Last reviewed June 2026 · Next September 2026