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.
#164 / 643
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?
Palliative care doctor
22%
#361 / 643
View rankingPalliative care doctor
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 |
|---|---|---|---|
Pain, the scale and the rescue dose.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The room, the family and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Symptom, the route and not over-sedating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The team, the home discharge and the weekend.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The oncologist, the limit and not walking away.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Be there, and not leaving the end alone.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
- pain scales
- opioid rescue
- palliative sedation
- home discharge
- refractory symptoms
- grieving family
- subcutaneous route
- end of life
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212