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

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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