IS WORK OVER?

Automation index

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

A prompt book comes earlier. Calling the cue so the show goes up do not.

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

Task comparison

Stage 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
Book, cues and the day’s plan.
Estimate

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

16%40%+6.4
Show, the delay and the one who is not there.
Estimate

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

18%14%+2.5
Rehearsals, changes and updating the book.
Estimate

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

16%28%+4.5
Crews, the clash and not missing the cue.
Estimate

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

16%22%+3.5
Opening, nerves and not bringing the curtain early.
Estimate

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

18%18%+3.2
That the show goes up, and the cue on time.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • prompt book
  • cues
  • show plan
  • rehearsals
  • crews
  • opening night
  • curtain
  • rehearsal changes

Sources for this job· O*NET 27-2012.00· ESCO/ISCO 3435

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

Analyse my job

Jobs with similar scores

  1. 372Dental technician22%
  2. 373Cheesemaker22%
  3. 374Office receptionist22%
  4. 376Watchmaker22%
  5. 377Book restorer22%
  6. 378Ticket inspector22%