IS WORK OVER?

Automation index

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

An appointment and a reminder come earlier. Scaling, probing and not hurting the gum do not.

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

Task comparison

Dental hygienist

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 recall reminders.
Estimate

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

16%32%+5.1
Scaling, polish and periodontal probing.
Estimate

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

22%10%+2.2
Teach brushing, diet and maintenance.
Estimate

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

16%22%+3.5
Support the dentist in clinic and X-ray.
Estimate

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

16%18%+2.9
Clinical notes and progress photos.
Estimate

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

16%28%+4.5
Sterilisation, bay and not infecting anyone.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • Diary, charts and recall reminders
  • Scaling, polish and periodontal probing
  • Teach brushing, diet and maintenance
  • Support the dentist in clinic and X-ray
  • Clinical notes and progress photos
  • higienista dental
  • dental hygienist

Sources for this job· O*NET 29-1292.00· ESCO/ISCO 2266

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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