Automation index

How much of a Appliance technician’s job can AI already do?

An error code comes earlier. Diagnosing in someone else’s kitchen and leaving it washing 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.

#398 / 653

Appliance 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
Code, history and the spare. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Strip, test and the built-in one. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Order the part, second visit and the client who is out. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Warranty, misuse and what it does not cover. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The tight kitchen and not marking the unit. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Leave it washing, and not swapping the board blind. 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?

19%

#557 / 653

Sterile processing 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
Intake, the dirty and the count. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Wash, the ultrasonic and what is left. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Pack, the indicator and the set. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Autoclave, the load and the cycle that fails. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Theatre, the rush and not sending a wet set. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Truly sterile, and not mixing the dirty. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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