Educational Instruction and Library · United States (national)
Chemistry 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 meaningful change looks likely over the next 5 to 10 years.
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 28.2 to 52.2
Physical / roboticsrange 6.9 to 30.9
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Pivot toward Teaching Assistants, Postsecondary
It is skill-adjacent and less exposed (36.4 vs 40). 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.
Keep the monitor on
Free shows where you stand today. JobBreak Monitor writes your full AI-researched plan and keeps watching, so you know the moment your outlook shifts.
Free
$0
See exactly where you stand.
Full job-risk score & timeline
Task-by-task exposure breakdown
One starter strategy
AI-researched personal plan
Ongoing monitoring & alerts
Current plan
Keep ahead
JobBreak Monitor
$3.99/mo
$29/yr
or $29/yr save 39%
that's about $2.42/mo, billed yearly
Your full researched plan, plus a watch on your job.
Everything in Free
Full AI-researched, cited action plan
Resume-aware personalisation
Re-run your plan any time
Alerts when your outlook shifts
Start monitoring
Secure checkout by Stripe. Cancel anytime.
Which of my tasks are exposed
Prepare and deliver lectures to undergraduate or graduate students on topics such as organic chemistry, analytical chemistry, and chemical separation.
50.0
Establish, teach, and monitor students' compliance with safety rules for handling chemicals, equipment, and other hazardous materials.
100.0
Evaluate and grade students' class work, laboratory performance, assignments, and papers.
50.0
Supervise students' laboratory work.
100.0
Maintain student attendance records, grades, and other required records.
40.2
Supervise undergraduate or graduate teaching, internship, and research work.
100.0
Compile, administer, and grade examinations, or assign this work to others.
50.0
Prepare course materials, such as syllabi, homework assignments, and handouts.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Establish, teach, and monitor students' compliance with safety rules for handling chemicals, equipment, and other hazardous materials.
Task: Supervise students' laboratory work.
Lower-risk adjacent roles
Teaching Assistants, Postsecondary
36.4
Physics Teachers, Postsecondary
37.2
Biological Science Teachers, Postsecondary
39.8
Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary
40.0
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Chemistry 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 40.2, robotics 18.9.
The timeline comes from the higher axis (40.2), shifted for local demand (stable), 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.