IS WORK OVER?

Automation index

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

A scan and a first design come earlier. A tooth that actually occludes does not.

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

Task comparison

Dental technician

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
Scan, design and nest the prosthesis.
Estimate

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

16%40%+6.4
Wax, cast, mill and stain.
Estimate

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

20%12%+2.4
Try-in with the dentist.
Estimate

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

16%22%+3.5
Orders, deadlines and lab charts.
Estimate

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

16%28%+4.5
Fit, occlusion and remakes.
Estimate

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

16%16%+2.6
Dust, oven and not delivering a crooked tooth.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Scan, design and nest the prosthesis
  • Wax, cast, mill and stain
  • Try-in with the dentist
  • Orders, deadlines and lab charts
  • Fit, occlusion and remakes
  • protesico dental
  • dental technician

Sources for this job· O*NET 51-9081.00· ESCO/ISCO 3214

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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