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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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