Automation index
How much of a Materials engineer’s job can AI already do?
A tensile curve comes earlier. Picking the alloy so it does not fail in service do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Materials engineer
27%
AI can already do 27% of this job.
#167 / 683
View rankingMaterials engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Tests, metallography and the spec.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Shop, heat treatment and the part that fails spec.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Material choice, corrosion and fatigue.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Supplier, certificates and the doubtful batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The field failure and the root cause.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not fail, and not swapping the material blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- materials tests
- metallography
- choose alloys
- corrosion
- fatigue
- heat treatment
- failure analysis
- batch certificates
Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149
IS WORK OVER?
Driving theory instructor
27%
#185 / 683
View rankingDriving theory instructor
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Topic, the test and the typical error.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Classroom, the one who skips and the one who copies.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The rule, the why and not reciting the article.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Exam, the nerves and not jumping to a pass.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The school, the rush and not selling the pass.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they understand the rule, and not the crib.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- DGT tests
- driving theory
- typical errors
- traffic rules
- articles
- theory exam
- cribs
- theory classroom
Sources for this job· O*NET 25-3021.00· ESCO/ISCO 2320