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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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