IS WORK OVER?

Automation index

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

A paged script comes earlier. A panel that reads without the deadline eating the line do not.

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

Task comparison

Comic artist

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
Paging, panels and the rhythm.
Estimate

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

18%48%+8.6
Pencil, ink and the one that will not close.
Estimate

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

16%40%+6.4
Colour, lettering and the balloon that will not fit.
Estimate

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

16%22%+3.5
Delivery, the editor and the page change.
Estimate

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

16%28%+4.5
The serial, the fatigue and not recycling the same face.
Estimate

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

18%14%+2.5
That it reads, and not eating the line.
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

  • panels
  • paging
  • ink
  • lettering
  • balloons
  • serials
  • pencil
  • page deadline

Sources for this job· O*NET 27-1013.00· ESCO/ISCO 2166

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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