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

Forest ranger

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
Logs, GIS and penalty files.
Estimate

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

16%32%+5.1
Patrol, poaching and fires.
Estimate

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

22%10%+2.2
Neighbours, shepherds and councils.
Estimate

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

16%18%+2.9
Sampling, paths and signage.
Estimate

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

16%22%+3.5
Duties, weather and terrain.
Estimate

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

16%14%+2.2
Not arriving late to a column of smoke.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Logs, GIS and penalty files
  • Patrol, poaching and fires
  • Neighbours, shepherds and councils
  • Sampling, paths and signage
  • Duties, weather and terrain
  • Not arriving late to a column of smoke
  • agente forestal
  • agente medioambiental
  • forest ranger

Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419

Analyse my job

Jobs with similar scores

  1. 598Air traffic controller17%
  2. 599Glazier17%
  3. 600Rebar worker17%
  4. 602Sailor17%
  5. 603Massage therapist17%
  6. 604Leisure instructor17%