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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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