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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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