IS WORK OVER?

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

Semiconductor 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.

TaskShareAIPoints
Recipe, tool and the batch.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Room, the suit and the one that contaminates.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Metrology, the defect and stopping.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Shift, the yield and not hiding it.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The engineer, the change and not touching blind.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
The batch comes out, and the room intact.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Traffic 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.

TaskShareAIPoints
Counts, the model and the microsim.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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