IS WORK OVER?

Automation index

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

The booking is already in an app. The fade, the straight-razor shave and the chair talk are not.

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

Task comparison

Barber

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
Appointments, till and product stock.
Estimate

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

14%32%+4.5
Cut and style consult with the client.
Estimate

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

16%12%+1.9
Cut, fade and finish with clipper and scissors.
Estimate

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

28%5%+1.4
Shave, beard tidy and hot towel.
Estimate

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

18%6%+1.1
Cleaning, disinfection and tool care.
Estimate

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

12%10%+1.2
Shop atmosphere and regulars.
Estimate

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

12%14%+1.7
Total100%12%

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

Skills and activities

  • cut hair
  • colour hair
  • haircut
  • barbering
  • Appointments, till and product stock
  • Cut and style consult with the client
  • Shave, beard tidy and hot towel
  • Cleaning, disinfection and tool care
  • Shop atmosphere and regulars
  • barber

Sources for this job· O*NET 39-5011.00· ESCO/ISCO 5141

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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