IS WORK OVER?

Automation index

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

A move plot comes earlier. Changing the set in the black without taking anyone down do not.

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

Task comparison

Stagehand

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
Plot, marks and the weight.
Estimate

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

16%32%+5.1
Change, blackout and the one who is late.
Estimate

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

22%8%+1.8
Loads, pulleys and the one that slips.
Estimate

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

16%22%+3.5
Technical rehearsal and the one who walks the light.
Estimate

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

16%28%+4.5
The show, the surprise and not improvising loads.
Estimate

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

16%18%+2.9
Take nobody down, and the change on time.
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

  • blackout changes
  • stage marks
  • pulleys
  • loads
  • technical rehearsal
  • sets
  • the show
  • weights

Sources for this job· O*NET 27-2099.00· ESCO/ISCO 3435

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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