IS WORK OVER?

Automation index

How much of a Maxillofacial surgeon’s job can AI already do?

A 3D osteotomy plan comes earlier. Cutting the jaw and getting the bite to fit do not.

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

Task comparison

Maxillofacial surgeon

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
3D plan, splints and consent.
Estimate

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

16%40%+6.4
Osteotomies, facial trauma and implants.
Estimate

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

22%8%+1.8
Cyst, impacted wisdom tooth and the joint.
Estimate

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

16%22%+3.5
Post-op, occlusion and the face that swells.
Estimate

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

16%28%+4.5
Head and neck oncology with the board.
Estimate

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

16%18%+2.9
Facial emergencies and signing the bone that moves.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • osteotomy
  • facial trauma
  • zygomatic implants
  • impacted wisdom teeth
  • occlusion
  • 3D maxillofacial plan
  • jaw cysts
  • head and neck

Sources for this job· O*NET 29-1022.00· ESCO/ISCO 2261

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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