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Will AI replace Physics Teachers, Postsecondary?

Teach courses pertaining to the laws of matter and energy. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 25-1054.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
22%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
22%Automatable
Automatable22%
Augmentable43%
Hard to automate35%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Education
Teaching & Research
Modeled pay midpoint$
$72,500/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Evaluate and grade students' class work, laboratory work, assignments, and papers.32%
✦Mentorship and classroom judgment27%
⚙Prepare course materials, such as syllabi, homework assignments, and handouts.24%
✦Adapting to individual learners23%
▥Compile, administer, and grade examinations, or assign this work to others.15%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with evaluate and grade students' class work, laboratory work, assignments, and papers..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in mentorship and classroom judgment.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Physics Teachers, Postsecondary.
02>AI can help with: Evaluate and grade students' class work, laboratory work, assignments, and papers.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Mentorship and classroom judgment.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 22% is estimated task exposure—not a 22% chance of losing the job.
What AI can do
Evaluate and grade students' class work, laboratory work, assignments, and papers.LOW MATCH
Prepare course materials, such as syllabi, homework assignments, and handouts.LOW MATCH
Compile, administer, and grade examinations, or assign this work to others.LOW MATCH
How estimates work →
Your human moat
◆

Mentorship and classroom judgment

HIGH MOAT

Combined with adapting to individual learners, this keeps a human in the loop.

Strength8.6
Similar-role comparison
RoleRisk
Physics Teachers, Postsecondary22%
Substitute Teachers, Short-Term23%
Business Teachers, Postsecondary24%
Education Teachers, Postsecondary24%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is mentorship and classroom judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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