IS WORK OVER?

Automation index

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

A previz comes earlier. Integrating the shot without seeing the trick do not.

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

Task comparison

VFX 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
Previz, tracking and the asset.
Estimate

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

18%48%+8.6
Comp, light and the edge that shows.
Estimate

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

16%40%+6.4
Sim, smoke and the one that has no weight.
Estimate

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

16%22%+3.5
Review, notes and the one that comes back again.
Estimate

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

16%28%+4.5
The deadline, the farm and not faking the render.
Estimate

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

18%14%+2.5
That the trick does not show, and delivering the shot.
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

  • previz
  • tracking
  • comp shots
  • sims
  • reviews
  • render farm
  • assets
  • edges

Sources for this job· O*NET 27-1014.00· ESCO/ISCO 2166

Last-mile 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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
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

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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