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

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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