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PlotFuture / Careers / Philosophy and Religion Teachers, Postsecondary

Philosophy and Religion Teachers, Postsecondary

Also known as: Assistant Professor, Associate Professor, Humanities Professor, Instructor, Philosophy Instructor
median $80,26010-yr demand +0.7%AI exposure 22/100typical entry Doctoral or professional degree
Philosophy and Religion Teachers, Postsecondary is mid-paying, AI barely touches it so far, and demand is steady.

The full pay distribution

Not one number — the spread from the bottom 10% to the top 10% of filed salaries.

How pay grows with experience

From entry to expert, by reported wage level.

How exposed is it to AI?

Two things matter: how much AI is actually used in the role today (right), and how much it could automate in theory (up). AI is already widely used here.
Each faint dot is another occupation. The amber dot is Philosophy and Religion Teachers, Postsecondary — its position tells you whether the disruption is here yet or still over the horizon.
used today 22/100 automatable in theory 51/100 archetype The Epicenter

If AI does come for this job — where could you go?

Adjacent careers ranked by how much safer + how much more they pay, and the skill gap to get there. Click any to see its full breakdown.

Which majors lead here

College paths that commonly feed this career — see each one's full outcomes.
Philosophy, Politics, And Economics
CIP 30.51
see major →
Philosophy
CIP 38.01
see major →
Religion/Religious Studies
CIP 38.02
see major →
Bible/Biblical Studies
CIP 39.02
see major →
Missions/Missionary Studies And Missiology
CIP 39.03
see major →
Religious Education
CIP 39.04
see major →
Religious Music And Worship
CIP 39.05
see major →
Theological And Ministerial Studies
CIP 39.06
see major →
Pastoral Counseling And Specialized Ministries
CIP 39.07
see major →
Religious Institution Administration And Law
CIP 39.08
see major →
Health Professions Education, Ethics, And Humanities
CIP 51.32
see major →
How this is built. Median pay and the full distribution come from filed U.S. wage data (BLS OEWS + DOL/LCA filings); AI exposure blends O*NET task content with model-based automation potential; escape routes are computed from skill overlap between occupations, then ranked by how much safer + better-paid the move is. This joins real distributions and projects them forward — it needs the real distributions and the skill graph, not a guess. Figures describe group medians and trends, not any one person's outcome.