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.
#453 / 713
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?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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 |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.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
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351