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?
Hearing aid technician
24%
AI can already do 24% of this job.
#281 / 623
View rankingHearing aid technician
Where the time goes
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.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Program, verify and retune the aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Repair, batteries and aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Explain, family and the stigma of the device.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they actually hear, and not taking the aid back.EstimateNo 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
Skills and activities
- fit hearing aids
- take earmoulds
- audiometry
- program aids
- verify gain
- repair aids
- hearing thresholds
- aftercare
Sources for this job· O*NET 29-2092.00· ESCO/ISCO 3214
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
Where the time goes
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514