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

IS WORK OVER?

18%

AI can already do 18% of this job.

#563 / 633

Beautician

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.

Task	Share	AI	Points
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
Total	100%		18%

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

IS WORK OVER?

22%

#338 / 633

Ice-cream maker

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.

Task	Share	AI	Points
Base, overrun and the recipe. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Churn, age and the one that crystals. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
List, season and the flavour that misses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Workshop, cold and the broken chain. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Summer, the queue and not running out of vanilla. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Creamy in the mouth, and not selling ice. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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