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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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