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

Social security officer

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
File, contributions and the right.
Estimate

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

18%48%+8.6
Incapacity, the opinion and the one who cannot.
Estimate

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

16%40%+6.4
Benefit, the deadline and not leaving them unpaid.
Estimate

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

16%22%+3.5
Fraud, the visit and not hunting the poor.
Estimate

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

16%28%+4.5
The doctor, the discharge and not fighting for sport.
Estimate

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

18%14%+2.5
That the right one is paid, and not the one who should not.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • pensions
  • contributions
  • incapacity
  • benefits
  • opinions
  • fraud
  • social-security deadlines
  • medical discharges

Sources for this job· O*NET 13-1141.00· ESCO/ISCO 3353

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