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.

#394 / 633

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%

#273 / 633

Internist

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
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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