IS WORK OVER?

Automation index

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

A routine comes earlier. Correcting the body without injury do not.

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

Task comparison

Dance teacher

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
Routine, count and the level.
Estimate

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

16%32%+5.1
Barre, centre and the one who locks.
Estimate

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

22%8%+1.8
Correct, the body and not forcing the hip.
Estimate

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

16%22%+3.5
Show, costume and the one who is late.
Estimate

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

16%28%+4.5
Parents, the grade and not humiliating in public.
Estimate

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

16%18%+2.9
No injury, and a clean step.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • barre
  • centre
  • routines
  • count
  • dance shows
  • hip
  • levels
  • correct the body

Sources for this job· O*NET 25-3021.00· ESCO/ISCO 2355

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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