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

Food technologist

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
Recipe, process and shelf life.
Estimate

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

16%40%+6.4
Plant, the batch and the one that will not set.
Estimate

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

18%14%+2.5
HACCP, labelling and not lying.
Estimate

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

16%28%+4.5
Taste, marketing and not disguising.
Estimate

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

16%22%+3.5
The supplier, the ingredient and not swapping blind.
Estimate

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

18%18%+3.2
Safe, and tasting like food.
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

  • industrial recipes
  • shelf life
  • HACCP
  • labelling
  • taste
  • plant batches
  • ingredients
  • food process

Sources for this job· O*NET 19-1012.00· ESCO/ISCO 2145

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