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?
Excavator operator
18%
#564 / 623
View rankingExcavator operator
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 |
|---|---|---|---|
Set-out, levels and the machine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Dig, load and the batter that comes in.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Services, the blind pipe and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Maintenance, grease and the pin that snaps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The labourer, the lorry and covering nobody.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Not breaking what is buried, and leaving a clean formation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dig with excavator
- load lorries
- batters
- buried services
- set-out levels
- grease the machine
- formation
- site GPS
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342