IS WORK OVER?

Automation index

How much of a Voice actor’s job can AI already do?

A take and a lipsync tweak come earlier. Getting into the skin in a booth does not.

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

Task comparison

Voice actor

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
Takes, lipsync and a first tweak.
Estimate

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

16%40%+6.4
Perform in the booth and hold takes.
Estimate

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

22%10%+2.2
Director, take and not fighting the line.
Estimate

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

16%22%+3.5
Voice, care and shouting days.
Estimate

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

16%18%+2.9
Diary, agents and life between studios.
Estimate

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

16%16%+2.6
Not leaving a take that does not match the mouth.
Estimate

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

14%14%+2
Total100%20%

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

Skills and activities

  • Takes, lipsync and a first tweak
  • Perform in the booth and hold takes
  • Director, take and not fighting the line
  • Voice, care and shouting days
  • Diary, agents and life between studios
  • doblador
  • dobladora
  • voice actor

Sources for this job· O*NET 27-2011.00· ESCO/ISCO 2655

Ice-cream maker

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
Base, overrun and the recipe.
Estimate

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

16%44%+7
Churn, age and the one that crystals.
Estimate

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

18%12%+2.2
List, season and the flavour that misses.
Estimate

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

16%28%+4.5
Workshop, cold and the broken chain.
Estimate

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

16%22%+3.5
Summer, the queue and not running out of vanilla.
Estimate

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

18%18%+3.2
Creamy in the mouth, and not selling ice.
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

  • churn
  • overrun
  • age bases
  • ice-cream list
  • cold chain
  • ice crystals
  • vanilla
  • ice-cream season

Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512

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