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

Mobile 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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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