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

Safety engineer

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
HAZOP, nodes and the minute.
Estimate

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

16%40%+6.4
Plant, the scenario and the one that was not thought.
Estimate

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

18%14%+2.5
SIL, the valve and not jumping it.
Estimate

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

16%28%+4.5
Incident, the lesson and not hiding it.
Estimate

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

16%22%+3.5
Management, the cost and not yielding the interlock.
Estimate

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

18%18%+3.2
Stop, and not signing the risk that kills.
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

  • HAZOP
  • nodes
  • SIL
  • safety valves
  • incidents
  • interlocks
  • safety minutes
  • not jump

Sources for this job· O*NET 17-2111.00· ESCO/ISCO 2141

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