IS WORK OVER?

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

Audiologist

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
Audiograms, thresholds and a first fit.
Estimate

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

18%40%+7.2
Trial, mould and adapt the aid.
Estimate

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

18%14%+2.5
Explain, habituation and follow-up.
Estimate

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

16%22%+3.5
Reports for ENT and notes.
Estimate

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

16%28%+4.5
Repair, clean and prototype stock.
Estimate

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

16%18%+2.9
Children, older people and not overselling.
Estimate

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

16%14%+2.2
Total100%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

Community health worker

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
Health map, workshops and the calendar.
Estimate

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

16%40%+6.4
Street, doorway and the neighbour who does not come.
Estimate

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

18%14%+2.5
Vaccines, screening and referring to the clinic.
Estimate

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

16%32%+5.1
Data, report and the health table.
Estimate

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

16%28%+4.5
The rumour, the distrust and not moralising.
Estimate

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

18%18%+3.2
That they come, and not inflating workshop numbers.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • health workshops
  • health map
  • door-to-door
  • refer to clinic
  • screening
  • health table
  • community vaccination
  • health distrust

Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253

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