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?
Forklift operator
17%
#577 / 623
View rankingForklift 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 |
|---|---|---|---|
Notes, locations and picking routes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, lift and stack.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Loads, centres of gravity and aisles.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Shift, radio and dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, incidents and counts.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not hitting anyone or a pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Notes, locations and picking routes
- Drive, lift and stack
- Loads, centres of gravity and aisles
- Shift, radio and dock
- Logs, incidents and counts
- Not hitting anyone or a pallet
- carretillero
- carretilla
- forklift
Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344