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

Avionics technician

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
BITE, manual and the fault tree.
Estimate

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

16%40%+6.4
Bench, the pin and the oxidised connector.
Estimate

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

18%12%+2.2
Calibrate, software and the config.
Estimate

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

16%28%+4.5
Line, the aircraft on stand and the slot.
Estimate

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

16%22%+3.5
The pilot report and not swapping the box blind.
Estimate

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

18%18%+3.2
Sign that it flies, and not leaving BITE red.
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

  • BITE
  • calibrate avionics
  • connectors
  • fault tree
  • equipment software
  • the stand
  • LRUs
  • config

Sources for this job· O*NET 49-2091.00· ESCO/ISCO 7421

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