Automation index
How much of a Semiconductor technician’s job can AI already do?
A wafer recipe comes earlier. The batch coming out without eating the cleanroom do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Semiconductor technician
22%
AI can already do 22% of this job.
#394 / 633
View rankingSemiconductor technician
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 |
|---|---|---|---|
Recipe, tool and the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Room, the suit and the one that contaminates.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Metrology, the defect and stopping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shift, the yield and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The engineer, the change and not touching blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The batch comes out, and the room intact.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
- wafers
- cleanroom
- yield
- metrology
- process recipes
- contamination
- chip batches
- suits
Sources for this job· O*NET 51-9141.00· ESCO/ISCO 3114
IS WORK OVER?
Hydraulic engineer
27%
#164 / 633
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142