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

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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