IS WORK OVER?

Automation index

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

A booking and a reminder come earlier. Suction, passing and not leaving the patient alone do not.

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

Task comparison

Dental assistant

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
Diary, charts and setting the bay.
Estimate

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

16%32%+5.1
Suction, pass instruments and isolate.
Estimate

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

22%10%+2.2
Care for the patient and explain aftercare.
Estimate

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

16%18%+2.9
Develop, label and file tests.
Estimate

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

16%28%+4.5
Sterilisation, impressions and stock.
Estimate

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

16%16%+2.6
Not infecting anyone and not leaving cotton inside.
Estimate

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

14%14%+2
Total100%19%

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

Skills and activities

  • design interfaces
  • prototypes
  • figma
  • Diary, charts and setting the bay
  • Suction, pass instruments and isolate
  • Care for the patient and explain aftercare
  • Develop, label and file tests
  • Sterilisation, impressions and stock
  • auxiliar de odontologia
  • dental assistant

Sources for this job· O*NET 31-9091.00· ESCO/ISCO 5329

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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