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?

22%

AI can already do 22% of this job.

#439 / 693

Semiconductor technician

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. 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
Total	100%		22%

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

IS WORK OVER?

27%

#207 / 693

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No 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