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?
Beautician
18%
AI can already do 18% of this job.
#573 / 643
View rankingBeautician
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 |
|---|---|---|---|
Bookings, charts and cabin protocols.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Facials, devices and treatments.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Advise on skin, product and habits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hygiene, kit and consent.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Retail, packs and follow-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not burning a skin or overselling.EstimateNo 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
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
IS WORK OVER?
Prompt engineer
34%
#21 / 643
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512