IS WORK OVER?

Automation index

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

A moodboard and a product list come earlier. Odd skin, a live show, and sweat do not.

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

Task comparison

Makeup 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
Moodboards, lists and quotes.
Estimate

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

16%38%+6.1
Bookings, consents and social.
Estimate

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

14%28%+3.9
Make up, hair and retouch on set.
Estimate

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

24%6%+1.4
Difficult skin, allergies and sweat.
Estimate

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

16%10%+1.6
Talent, director and the clock.
Estimate

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

16%12%+1.9
Kit, hygiene and travel.
Estimate

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

14%16%+2.2
Total100%17%

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

Skills and activities

  • Moodboards, lists and quotes
  • Bookings, consents and social
  • Make up, hair and retouch on set
  • Difficult skin, allergies and sweat
  • Talent, director and the clock
  • Kit, hygiene and travel
  • maquillador
  • makeup artist
  • maquillaje

Sources for this job· O*NET 39-5091.00· ESCO/ISCO 5142

School sports coach

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
Session, the kit and the group.
Estimate

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

16%40%+6.4
Pitch, the one who never gets the ball and the one who humiliates.
Estimate

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

18%14%+2.5
Injury, the protocol and calling home.
Estimate

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

16%28%+4.5
Match, the score and not shouting at a child.
Estimate

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

16%22%+3.5
The parent, the bench and not yielding.
Estimate

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

18%18%+3.2
That they all play, and not just the chair's child.
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

  • school sessions
  • minute rotation
  • injury protocol
  • parents on the bench
  • not shout at children
  • kit
  • matches
  • inclusion

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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