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?
Growth manager
31%
#35 / 633
View rankingGrowth manager
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 |
|---|---|---|---|
Analytics, funnels and growth dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Copy, creatives and test variants.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Design experiments and read causality.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Align product, marketing and sales.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Ads budget and internal negotiation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Decide what dies and what scales.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Analytics, funnels and growth dashboards
- Copy, creatives and test variants
- Design experiments and read causality
- Align product, marketing and sales
- Ads budget and internal negotiation
- Decide what dies and what scales
- growth manager
- growth hacker
- responsable de growth
Sources for this job· O*NET 13-1161.00· ESCO/ISCO 2431