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

Health information 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
Code ICD, the discharge set and the episode.
Estimate

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

18%52%+9.4
Filing, scanning and the missing record.
Estimate

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

16%48%+7.7
Loans, copies and the judge who wants the file.
Estimate

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

16%28%+4.5
Documentation emergencies and the discharge that will not close.
Estimate

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

18%18%+3.2
Data quality, audits and billing.
Estimate

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

16%22%+3.5
Confidentiality and not losing the record.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • code ICD-10
  • discharge dataset
  • file records
  • loan records
  • health documentation
  • scan reports
  • clinical data quality
  • confidentiality

Sources for this job· O*NET 29-2072.00· ESCO/ISCO 3252

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