Automation index
How much of a Audiologist’s job can AI already do?
An audiogram and a curve tweak come earlier. Fitting an aid so the person actually hears does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Audiologist
23%
AI can already do 23% of this job.
#327 / 753
View rankingAudiologist
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 |
|---|---|---|---|
Audiograms, thresholds and a first fit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Trial, mould and adapt the aid.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Explain, habituation and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reports for ENT and notes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Repair, clean and prototype stock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Children, older people and not overselling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Audiograms, thresholds and a first fit
- Trial, mould and adapt the aid
- Explain, habituation and follow-up
- Reports for ENT and notes
- Repair, clean and prototype stock
- Children, older people and not overselling
- audiologo
- audiologist
Sources for this job· O*NET 29-1181.00· ESCO/ISCO 2266
IS WORK OVER?
Geomatics engineer
22%
#402 / 753
View rankingGeomatics engineer
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 |
|---|---|---|---|
Station, the base and the cloud.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the axis and the one that moved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Model, the drift and not hiding metres.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Works, the setting-out and going down to see it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The contractor, the rush and not signing the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the axis is there, and not signing metres.EstimateNo 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
Skills and activities
- point clouds
- total stations
- axes
- setting-out
- drift
- bases
- geomatics
- the field
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165