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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%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

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