Automation index
How much of a Tool and die maker’s job can AI already do?
A CAD file and an electrode come earlier. Fitting the die so the run comes out do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tool and die maker
25%
AI can already do 25% of this job.
#244 / 633
View rankingTool and die maker
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 |
|---|---|---|---|
Read the die, clearances and the 3D drawing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Machine, fit and try the tooling.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Mount in the press, shoot and correct.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
EDM, polish and cavity finish.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Die maintenance and changeovers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Die life and liability for the part.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make dies
- fit tooling
- run EDM
- try out tooling
- polish cavities
- mount in the press
- maintain moulds
- correct clearances
Sources for this job· O*NET 51-4111.00· ESCO/ISCO 7222
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile 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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324