IS WORK OVER?

Automation index

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

A sketch and a booking come earlier. Needle, skin, and the client wearing it for 40 years do not.

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

Task comparison

Tattoo 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
Sketches, stencils and portfolio.
Estimate

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

16%40%+6.4
Bookings, consent and written aftercare.
Estimate

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

14%28%+3.9
Tattoo: line, shade and pain.
Estimate

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

26%4%+1
Hygiene, sterilisation and waste.
Estimate

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

16%8%+1.3
Advise, cut the design and say no.
Estimate

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

14%12%+1.7
Shop brand and aftercare in person.
Estimate

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

14%14%+2
Total100%16%

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

Skills and activities

  • Sketches, stencils and portfolio
  • Bookings, consent and written aftercare
  • Tattoo: line, shade and pain
  • Hygiene, sterilisation and waste
  • Advise, cut the design and say no
  • Shop brand and aftercare in person
  • tatuador
  • tattoo
  • tatuaje

Sources for this job· O*NET 27-1019.00· ESCO/ISCO 5142

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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