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?
Maxillofacial surgeon
21%
#405 / 623
View rankingMaxillofacial surgeon
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 |
|---|---|---|---|
3D plan, splints and consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Osteotomies, facial trauma and implants.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cyst, impacted wisdom tooth and the joint.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Post-op, occlusion and the face that swells.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Head and neck oncology with the board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Facial emergencies and signing the bone that moves.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- osteotomy
- facial trauma
- zygomatic implants
- impacted wisdom teeth
- occlusion
- 3D maxillofacial plan
- jaw cysts
- head and neck
Sources for this job· O*NET 29-1022.00· ESCO/ISCO 2261