IS WORK OVER?

Automation index

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

A sketch and a 3D come earlier. A set that stands and can be shot do not.

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

Task comparison

Set designer

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
The reading, references and the space concept.
Estimate

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

16%40%+6.4
Drawings, model, 3D and the element list.
Estimate

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

18%32%+5.8
Build, workshop and fit-up in the room or on set.
Estimate

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

18%18%+3.2
Rehearsals, changes and what direction asks.
Estimate

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

16%22%+3.5
Budget, props and the trades.
Estimate

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

16%28%+4.5
That it stands, reads, and comes down.
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

  • design sets
  • make models
  • set drawings
  • fit up
  • props
  • space concept
  • set 3D
  • stage fit-up

Sources for this job· O*NET 27-1027.00· ESCO/ISCO 3432

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

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