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.

#403 / 643

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?

24%

#287 / 643

Job insertion 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
Employer prospecting and the agreements. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Go with them to the job and the first day. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Follow-up, incidents and the one who quits. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Reports, indicators and justifying the grant. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The hard candidate and the employer who pulls out. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they stay, and not dressing the figure. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		24%

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