Automation index

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

An earmould and a gain curve come earlier. Getting the patient to hear and live with it do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#286 / 643

Hearing aid 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
Audiometry, thresholds and the fitting. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Take the mould, trial and the one who hates the whistle. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Program, verify and retune the aid. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Repair, batteries and aftercare. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Explain, family and the stigma of the device. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they actually hear, and not taking the aid back. 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

IS WORK OVER?

22%

#336 / 643

Dosimetrist

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
CT, contours and the plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Organ at risk, the curve and not overshooting. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Physics, the check and the one that does not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fraction, the setup and the patient who is not the same. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The oncologist, the trade-off and not signing blind. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The tumour gets it, and the healthy organ does not. 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