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
IS WORK OVER?
Tattoo artist
16%
AI can already do 16% of this job.
#722 / 743
View rankingTattoo 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.
| Task | Share | AI | Points |
|---|---|---|---|
Sketches, stencils and portfolio.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Bookings, consent and written aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Tattoo: line, shade and pain.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 4% | +1 |
Hygiene, sterilisation and waste.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Advise, cut the design and say no.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Shop brand and aftercare in person.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 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
IS WORK OVER?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141