Educational Instruction and Library · United States (national)
Engineering Teachers, Postsecondary
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 29.7 to 53.7
Physical / roboticsrange 5.0 to 29.0
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
It is skill-adjacent and less exposed (36.9 vs 42). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
50.0
Prepare course materials, such as syllabi, homework assignments, and handouts.
50.0
Evaluate and grade students' class work, laboratory work, assignments, and papers.
50.0
Write grant proposals to procure external research funding.
50.0
Supervise undergraduate or graduate teaching, internship, and research work.
100.0
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
50.0
Prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics.
50.0
Initiate, facilitate, and moderate class discussions.
100.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Supervise undergraduate or graduate teaching, internship, and research work.
Task: Initiate, facilitate, and moderate class discussions.
Local demand is growing
Lower-risk adjacent roles
Computer Science Teachers, Postsecondary
36.9
Physics Teachers, Postsecondary
37.2
Architectural and Engineering Managers
38.6
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Engineering Teachers, Postsecondary to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 41.7, robotics 17.0.
The timeline comes from the higher axis (41.7), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.