IS WORK OVER?

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

Hearing 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.

TaskShareAIPoints
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
Total100%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

Tram driver

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.

TaskShareAIPoints
Checks, log and the cab.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Drive, stops and the pedestrian who steps out.
Estimate

No public source provides a precise figure. This is our estimate.

24%8%+1.9
Badly parked car, calls and Control.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Timetable, reliefs and rush hour.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The tourist, the bike and not over-hooting.
Estimate

No public source provides a precise figure. This is our estimate.

14%18%+2.5
Hit nobody, and make the terminus.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%19%

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

Skills and activities

  • drive trams
  • urban stops
  • pedestrians
  • badly parked cars
  • Control
  • rush hour
  • cab checks
  • terminus

Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311

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