IS WORK OVER?

Automation index

How much of a Beautician’s job can AI already do?

A booking and a chart come earlier. Hands on a face, and the skin not burning, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Beautician

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
Bookings, charts and cabin protocols.
Estimate

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

16%32%+5.1
Facials, devices and treatments.
Estimate

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

22%10%+2.2
Advise on skin, product and habits.
Estimate

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

16%18%+2.9
Hygiene, kit and consent.
Estimate

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

16%22%+3.5
Retail, packs and follow-up.
Estimate

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

16%16%+2.6
Not burning a skin or overselling.
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

  • Bookings, charts and cabin protocols
  • Facials, devices and treatments
  • Advise on skin, product and habits
  • Hygiene, kit and consent
  • Retail, packs and follow-up
  • Not burning a skin or overselling
  • esteticista
  • beautician
  • estetica

Sources for this job· O*NET 39-5094.00· ESCO/ISCO 5142

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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