Gini Loh System Tools

AI Automation Index

Will AI Replace Philosophy and Religion Teachers, Postsecondary?

Task-level automation exposure for Philosophy and Religion Teachers, Postsecondary: 22 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

60% weighted task index

22 of 22 tasks scored

Median Salary

$80,260 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

20,460 people hold this job — size, not growth

Projected 2025–35

+2.0% employment change

1,800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 43 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$58,000 – $105,820

Highest medians

California $105,820
Maine $102,760
Vermont $102,600
Hawaii $101,010
Connecticut $100,360

Lowest medians

South Dakota $58,000
Alabama $62,210
Florida $63,330
Mississippi $63,560
Oklahoma $64,840

State figures come from the 25-1126 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 60%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 79%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 26%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 4/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

22 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 61%

13 tasks

Medium exposure (≥ 35%) 35%

8 tasks

Low exposure (below 35%) 4%

1 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#6378 · Core · 70% automatable

Evaluate and grade students' class work, assignments, and papers.

decision support — Grading aided; rubric judgment and accountability human

Evaluate student work.
#6379 · Core · 40% automatable

Initiate, facilitate, and moderate classroom discussions.

interpersonal — Facilitating live discussion needs real-time human judgment

Guide class discussions.
#20104 · Core · 60% automatable

Prepare and deliver lectures to undergraduate or graduate students and the community on topics such as ethics, logic, and contemporary religious thought.

text generation — Lecture content and materials largely AI-draftable; delivery human

Teach humanities courses at the college level.
#6382 · Core · 65% automatable

Compile, administer, and grade examinations, or assign this work to others.

text generation — Item writing from specs, human reviews validity

Administer tests to assess educational needs or progress. Prepare tests. Evaluate student work.
#6381 · Core · 80% automatable

Prepare course materials, such as syllabi, homework assignments, and handouts.

text generation — Develop instructional materials; human reviews

Develop instructional materials.
#6383 · Core · 49% automatable

Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.

information retrieval — AI monitors developments; human judges significance

Stay informed about current developments in field of specialization. Attend training sessions or professional meetings to develop or maintain professional knowledge.
#6384 · Core · 78% automatable

Maintain student attendance records, grades, and other required records.

data analysis — Maintain structured student records in databases

Maintain student records.
#20105 · Core · 55% automatable

Write articles and books.

text generation — AI drafts; original expertise and authorship are human

Write articles, books or other original materials in area of expertise.
#6390 · Core · 42% automatable

Perform administrative duties, such as serving as department head.

interpersonal — Directing people requires live authority and accountability

Direct department activities.
#6389 · Core · 67% automatable

Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.

information retrieval — AI researches and synthesizes; human judges relevance

Research topics in area of expertise. Write articles, books or other original materials in area of expertise.
#6385 · Core · 70% automatable

Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.

text generation — Drafts instructional objectives; educator refines and validates

Evaluate effectiveness of educational programs. Develop instructional objectives.
#6386 · Core · 60% automatable

Maintain regularly scheduled office hours to advise and assist students.

interpersonal — Career guidance drafted; mentor relationship human

Advise students on academic or career matters.
#6388 · Core · 60% automatable

Advise students on academic and vocational curricula and on career issues.

interpersonal — Career guidance drafted; mentor relationship human

Advise students on academic or career matters.
#6396 · Core · 32% automatable

Supervise undergraduate or graduate teaching, internship, and research work.

interpersonal — Mentoring students requires relationship and judgment

Supervise student research or internship work.
#6387 · Core · 66% automatable

Select and obtain materials and supplies, such as textbooks.

decision support — Routine ordering automatable; human approves purchases

Select educational materials or equipment. Order instructional or library materials or equipment.
#6392 · Core · 78% automatable

Collaborate with colleagues to address teaching and research issues.

information retrieval — AI researches and synthesizes; human judges relevance

Research topics in area of expertise.
#6391 · Core · 35% automatable

Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.

interpersonal — Committee service requires presence, negotiation, accountability

Serve on institutional or departmental committees.
#6395 · Core · 59% automatable

Participate in student recruitment, registration, and placement activities.

data analysis — Registration data entry automatable; verification and exceptions human

Promote educational institutions or programs. Perform student enrollment or registration activities.
#6394 · Core · 80% automatable

Compile bibliographies of specialized materials for outside reading assignments.

information retrieval — Bibliography compilation from sources, human curates

Compile specialized bibliographies or lists of materials.
#6393 · Core · 52% automatable

Participate in campus and community events.

interpersonal — Public programs need community engagement and judgment

Plan community programs or activities for the general public.
#6397 · Core · 60% automatable

Act as advisers to student organizations.

interpersonal — Career guidance drafted; mentor relationship human

Advise students on academic or career matters.
#6398 · Supplemental · 55% automatable

Write grant proposals to procure external research funding.

text generation — Draft grant text; human owns strategy and budget

Write grant proposals.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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