IS WORK OVER?

Automation index

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

A digital setup and a first aligner come earlier. Bonding a bracket and not losing a tooth do not.

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

Task comparison

Orthodontist

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
Scan, cephalometry and a first setup.
Estimate

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

16%40%+6.4
Bond, adjust and review appliances.
Estimate

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

20%12%+2.4
Explain, motivate and follow the teenager.
Estimate

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

16%22%+3.5
Charts, photos and aligner orders.
Estimate

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

16%28%+4.5
Wire emergencies and lost brackets.
Estimate

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

16%16%+2.6
Final occlusion and not leaving a relapse.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Scan, cephalometry and a first setup
  • Bond, adjust and review appliances
  • Explain, motivate and follow the teenager
  • Charts, photos and aligner orders
  • Wire emergencies and lost brackets
  • Final occlusion and not leaving a relapse
  • ortodoncista
  • orthodontist

Sources for this job· O*NET 29-1023.00· 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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