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.

#385 / 633

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?

24%

#283 / 633

Radiation therapist

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
Plan, IGRT and the day’s set-up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Immobilise, tattoo and treat fraction by fraction. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Check images, shifts and call the physician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Side effects, the patient who cries and the wait. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Machine QA and alarms. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Today’s dose and not irradiating the wrong thing. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		24%

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