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 / 633
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?
Equality officer
29%
#72 / 633
View rankingEquality officer
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 |
|---|---|---|---|
Diagnosis, equality plan and the pay register.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Harassment protocols, training and clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The complaint, the committee and what nobody wants to hear.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Indicators, annual report and bargaining with the firm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The agreement, tenders and social clauses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
That it is done, and not left as a PDF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- equality plans
- pay gap register
- harassment protocols
- equality training
- gap diagnosis
- social clauses
- equality indicators
- bargain with the firm
Sources for this job· O*NET 13-1041.00· ESCO/ISCO 2422