Mathematical Science Teachers, Postsecondary
Category: General · SOC 25-1022.00 · Industry: Cross-industry
Not assessed
unknown
sources: BLS OES (approx) · O*NET
0 sources
13 core tasks shown
Mathematical Science Teachers, Postsecondary High exposure: 0 of 13 core tasks show high task automation potential : exposure 50/100 (not assessed).
No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
Methodology - · score - · input hash -
Strength of current models on the capabilities this job's tasks require.
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Evidence that AI is actually being used for this work.
Observed changes in postings, employment or earnings.
Quantity and source quality of the evidence behind the score.
0 evidence item(s) contribute. Calculated -.
Overview
Teach courses pertaining to mathematical concepts, statistics, and actuarial science and to the application of original and standardized mathematical techniques in solving specific problems and situations. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
Employment
-
approx. BLS OES
Median wage
-
approx. BLS OES
Tasks tracked
13
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.6/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.4/5
core task · importance 4.4/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 3.8/5
core task · importance 3.6/5
core task · importance 3.6/5
core task · importance 3.5/5
core task · importance 3.3/5
Evidence
Evidence trail
0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
No series yet
This chart fills in once the first snapshot is recorded.
Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
No events match this filter yet. New verified events appear here as analysis completes.
Related
Related Occupations
Occupations sharing major SOC group (25) with Mathematical Science Teachers, Postsecondary.
faq
Frequently Asked Questions
Common questions regarding Mathematical Science Teachers, Postsecondary and AI exposure.
Will AI replace Mathematical Science Teachers, Postsecondary?
Current AI models show an exposure score of 50/100 for Mathematical Science Teachers, Postsecondary. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Mathematical Science Teachers, Postsecondary have the highest AI exposure?
The most exposed tasks for Mathematical Science Teachers, Postsecondary include "Compile, administer, and grade examinations, or assign this work to others." (50% exposure) and "Evaluate and grade students' class work, assignments, and papers." (50% exposure).
What aspects of Mathematical Science Teachers, Postsecondary can AI not do yet?
Tasks with the lowest AI exposure for Mathematical Science Teachers, Postsecondary include "Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academi…" (50% exposure) and "Advise students on academic and vocational curricula and on career issues." (50% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.