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.
#403 / 643
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?
Oceanographer
22%
#366 / 643
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.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
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114