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

Public health officer

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
Surveillance, the indicator and the alert.
Estimate

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

16%40%+6.4
Outbreak, the questionnaire and the one who will not answer.
Estimate

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

18%14%+2.5
Field, the source and shutting the premises.
Estimate

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

16%28%+4.5
Report, the mayor and not softening the figure.
Estimate

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

16%22%+3.5
Vaccination, coverage and the rumour.
Estimate

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

18%18%+3.2
Cut the outbreak, and not softening it.
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

  • epi surveillance
  • outbreaks
  • field questionnaires
  • shut premises
  • vaccine coverage
  • public-health alerts
  • mayors
  • not soften figures

Sources for this job· O*NET 21-1091.00· ESCO/ISCO 2263

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