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.
#162 / 623
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?
Music teacher
22%
#370 / 623
View rankingMusic teacher
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 |
|---|---|---|---|
Score, tuning and the term plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Class, the one out of tune and the one who does not practise.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Rehearsal, the concert and the one who is ill.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Assess, auditions and not humiliating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Families, the instrument and the one that will not fit at home.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Sound together, and not hating the instrument.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- scores
- tune
- concert rehearsals
- auditions
- instrument lessons
- out of tune
- families
- term plan
Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2354