IS WORK OVER?

Automation index

How much of a Optician’s job can AI already do?

An auto-refraction and a prescription pad come earlier. Looking at the eye, selling without pushing, and catching glaucoma do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Optician

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, history and prescription.
Estimate

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

18%40%+7.2
Lens orders, stock and appointments.
Estimate

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

16%32%+5.1
Eye exam, retinal image and fitting.
Estimate

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

20%12%+2.4
Frame fit and workshop.
Estimate

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

16%10%+1.6
Advise without pushing and explain pathology.
Estimate

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

16%14%+2.2
Refer to ophthalmology and follow-up.
Estimate

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

14%16%+2.2
Total100%21%

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

Skills and activities

  • File, history and prescription
  • Lens orders, stock and appointments
  • Eye exam, retinal image and fitting
  • Frame fit and workshop
  • Refer to ophthalmology and follow-up
  • optico
  • optometrista
  • optician

Sources for this job· O*NET 29-2081.00· ESCO/ISCO 3254

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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