IS WORK OVER?

Automation index

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

A schedule and an overlay come earlier. The shot you have to nail does not.

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

Task comparison

Camera operator

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
Schedule, lists and overlays.
Estimate

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

16%32%+5.1
Frame, follow and not lose focus.
Estimate

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

22%10%+2.2
Kit, cards and backups.
Estimate

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

16%18%+2.9
Director, light and sound.
Estimate

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

16%22%+3.5
Knees, shoulder and long days.
Estimate

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

16%16%+2.6
Not wiping a full card.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Schedule, lists and overlays
  • Frame, follow and not lose focus
  • Kit, cards and backups
  • Director, light and sound
  • Knees, shoulder and long days
  • Not wiping a full card
  • camara
  • operador de camara
  • camera operator

Sources for this job· O*NET 27-4031.00· ESCO/ISCO 3521

Warehouse supervisor

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
Docks, waves and the shift plan.
Estimate

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

16%40%+6.4
The team, the peak and the one who cannot keep up.
Estimate

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

18%14%+2.5
Stock, shrink and the mystery gap.
Estimate

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

16%32%+5.1
Safety, forklifts and the near miss.
Estimate

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

16%28%+4.5
The late haulier and not mixing the docks.
Estimate

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

18%18%+3.2
Get the shift out, and not mixing the goods.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • plan docks
  • waves
  • warehouse shift
  • shrink
  • forklifts
  • near misses
  • outbound peaks
  • mixed goods

Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324

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