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

Backend developer

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
Endpoint, the contract and the test.
Estimate

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

18%48%+8.6
Spike, the queue and the one that drops.
Estimate

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

16%40%+6.4
Key, the secret and not leaving it in the repo.
Estimate

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

16%22%+3.5
Migration, the rollback and not improvising in prod.
Estimate

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

16%28%+4.5
Product, the deadline and not cutting the one that matters.
Estimate

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

18%14%+2.5
That it takes the spike, and not leaving the key.
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

  • endpoints
  • API contracts
  • queues
  • secrets
  • migrations
  • rollback
  • backend tests
  • write server code

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512

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