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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
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

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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