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?
University careers adviser
27%
#181 / 683
View rankingUniversity careers adviser
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 |
|---|---|---|---|
Workshop, the CV and the letter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Appointment, the one who does not know and the one who wants everything.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Placement, the firm and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Fair, the contact and the one who will not approach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The dean, insertion and not dressing the rate.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A plan, and not panic.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
- university CVs
- cover letters
- placements
- jobs fairs
- graduate insertion
- careers appointments
- not sell smoke
- workshops
Sources for this job· O*NET 21-1012.00· ESCO/ISCO 2423