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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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